PRECISION MEDICINE AND GRAFT-INDUCED DYSKINESIA (GID): 
INVESTIGATING THE CURIOUS SIDE EFFECT OF  
DOPAMINE NEURON TRANSPLANTATION IN THE rs6265 BDNF (MET/MET) 
PARKINSONIAN BRAIN 
By 
Carlye Anne Szarowicz 
A DISSERTATION 
Submitted to 
Michigan State University 
in partial fulfillment of the requirements 
for the degree of 
Pharmacology & Toxicology – Doctor of Philosophy 
2025 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ABSTRACT 
While dopamine (DA) neuron transplantation is a promising alternative therapy to 
the current pharmacological agents (e.g., levodopa) prescribed for individuals with 
Parkinson’s disease (PD), significant heterogeneity in clinical outcomes exists. 
Specifically, the underlying mechanisms responsible for the aberrant side effect, graft-
induced dyskinesia (GID), a behavior that develops in a subpopulation of individuals 
who received primary DA neuron transplants, remains a mystery to be solved. In regard 
to this heterogeneity in cell therapy, our group previously became interested in the 
influence of certain genetic risk factors, hypothesizing that the common human single 
nucleotide polymorphism (SNP), rs6265, which is found in the gene for brain-derived 
neurotrophic factor (BDNF) and results in decreased BDNF release, is an unrecognized 
contributor to response variability in cell therapy, specifically the development of GID. 
Indeed, we previously demonstrated that homozygous rs6265 (Met/Met) parkinsonian 
rats engrafted with wild-type (WT; Val/Val) DA neurons uniquely exhibited GID compared 
to their WT counterparts. To further expand these findings, I investigated the impact of 
rs6265 in both the host and donor on DA neuron transplantation for my thesis research. 
I additionally studied whether exogenous BDNF treatment would mitigate GID behavior 
in the Met/Met parkinsonian rats engrafted with WT DA neurons. In both studies, rats 
were rendered unilaterally parkinsonian using 6-hydroxydopamine (6-OHDA), engrafted 
with intrastriatal embryonic ventral mesencephalic (eVM) neurons from E14 WT or 
Met/Met donors, and assessed for amelioration of levodopa-induced dyskinesia (LID) 
(graft function) and induction of graft-induced dyskinesia (GID) (graft dysfunction). For 
the second experiment, exogenous BDNF was administered directly above the grafted 
 
 
DA neurons through a cannula connected to a subcutaneous osmotic minipump for four 
weeks following engraftment. From these experiments, I first determined that (1) the 
homozygous rs6265 Met/Met genotype, whether present in the host or donor, elicits 
superior graft-derived functional benefit compared to WT parkinsonian hosts, and (2) 
Met/Met parkinsonian rats engrafted with WT DA neurons curiously remain the only 
host/donor combination to exhibit significant GID behavior. Moreover, I discovered that 
(3) exogenous BDNF administration is not a feasible treatment for GID as BDNF 
exacerbated GID in Met/Met parkinsonian rats engrafted with WT DA neurons, and (4) 
evidence suggests that dysregulated DA/glutamate co-release and/or excess DA 
release is associated with GID induction, a phenomenon that corresponds with clinical 
trials where individuals with GID benefited from buspirone (a drug with DA antagonist 
properties) administration. Because several clinical grafting trials for PD are now 
planned or ongoing, uncovering the underlying mechanisms responsible for GID will be 
necessary to optimize cell transplantation as a safe alternative therapeutic in PD. 
Collectively, the knowledge gained from my research offers guidance moving forward for 
the development of promising precision-medicine-based therapies that effectively treat 
the majority, not only a subset, of patients with PD.  
 
 
 
 
 
Copyright by 
CARLYE ANNE SZAROWICZ 
2025 
 
 
 
 
 
 
 
 
 
 
 
 
In loving memory of my father, Robert F. Szarowicz 
v 
 
 
 
 
 
 
 
ACKNOWLEDGEMENTS 
I would first like to thank my graduate mentor, Dr. Kathy Steece-Collier, for her 
guidance over the last five years. Her expertise is vast, and I have made considerable 
strides as a scientist because of her. I, too, am grateful for the support of my lab 
manager, Jennifer Stancati. Not only has she graciously taught me laboratory 
techniques, she has also often leant a shoulder to cry on in the midst of my personal 
struggles I endured throughout the years. I would also like to thank several other lab 
members that have come and gone throughout my time here: Molly Vander Werp, Sam 
Boezwinkle, Caleb Mathai, and Asha Savani. It has been an honor developing our 
scientistic minds alongside one another. I owe additional acknowledgement to my 
committee members, including Drs. Caryl Sortwell, Anne Dorrance, John Goudreau, 
Colleen Hegg, and Margaret Caulfield, for their time and guidance as I navigated the 
doctoral program from start to finish. Thank you also to the Translational Neuroscience 
Department and the Pharmacology and Toxicology Department at MSU for providing me 
with this opportunity to pursue my doctoral degree. 
Importantly, I’d like to thank my family for their endless love and support. It is 
because of them that I made it here today. Unfortunately, my father passed away 
halfway through my fourth year here, four months after being diagnosed with Stage 4 
stomach cancer. He was my constant and would always encourage me to lift up my 
problems to God, that He would bring me peace. He was the epitome of the perfect 
father, and there was no one else like him. Today, I reached a milestone that he will 
never see. So badly, I’d like to talk to him one last time and see how proud he would be. 
vi 
 
Dad, I am honored to be your daughter, and I will miss you every day for the rest of my 
life. But I know I will see you again. I love you.  
Just like my father, my mother has been an unwavering presence throughout my 
PhD journey, offering me encouragement every step of the way. She is the strongest 
person I know. To my sister, who has loved me unconditionally since the day she was 
born, and to my brothers, who have loved me despite my sisterly flaws—thank you all.  
And lastly, but arguably most important, my husband, Jacob Kaminski. You are 
the most precious person in my life, and I am so grateful for you. You have encouraged 
me to be the best that I can be, and I cannot fathom loving you more. You have 
supported me in following my dreams without any hesitation. You are the most selfless 
person I have ever known, and I cannot thank you enough. Soon we will be bringing a 
beautiful daughter into this world, and I cannot wait to see what an incredible father you 
will be.  
Thank you, Lord, for these blessings you have brought me.  
Colossians 3:17: “And whatever you do, whether in word or deed, do it all in the name 
of the Lord Jesus, giving thanks to God the Father through him. 
vii 
 
 
 
 
 
 
 
 
PREFACE 
Upon completion of this dissertation, manuscripts derived from Chapter 3 and 4 
are both finalized and ready for submission. Chapter 3 is intended to be submitted to 
Neurobiology of Disease, and Chapter 4 is intended to be submitted to Journal for 
Clinical Investigation. Additionally, large portions of Chapter 2 were reproduced from my 
review article that was published in July 2022 in the International Journal of Molecular 
Sciences (IJMS), PMID: 35887357 (copyright is retained by the authors).  
viii 
 
 
 
TABLE OF CONTENTS 
LIST OF TABLES ......................................................................................................... xii 
LIST OF FIGURES....................................................................................................... xiii 
LIST OF ABBREVIATIONS .......................................................................................... xv 
CHAPTER 1: INTRODUCTION TO PARKINSON’S DISEASE (PD) .............................. 1 
HISTORY ..................................................................................................................... 2 
SYMPTOM PRESENTATION AND CLINICAL DIAGNOSIS ....................................... 4 
Classic Motor Symptoms ......................................................................................... 4 
Non-Motor Symptoms .............................................................................................. 6 
Clinical Diagnosis ..................................................................................................... 7 
NEUROPATHOLOGY................................................................................................ 10 
The Basal Ganglia .................................................................................................. 10 
Nigrostriatal Degeneration and DA Depletion ......................................................... 14 
Lewy Body Pathology ............................................................................................. 16 
RISK FACTORS AND ETIOLOGY ............................................................................ 19 
Advancing Age ....................................................................................................... 19 
Genetic Risk Factors .............................................................................................. 22 
Environmental Risk Factors ................................................................................... 26 
Other Risk Factors and Comorbidities ................................................................... 29 
THERAPEUTIC STRATEGIES FOR PD ................................................................... 31 
Pharmacotherapy ................................................................................................... 31 
Advanced Therapies .............................................................................................. 41 
Experimental Disease-Modifying Therapies ........................................................... 42 
Regenerative Cell Transplantation Therapy ........................................................... 48 
BIBLIOGRAPHY ....................................................................................................... 79 
CHAPTER 2: ADVANCING CELL-BASED THERAPY FOR PARKINSON’S DISEASE 
THROUGH THE SCOPE OF PRECISION MEDICINE ............................................... 125 
UNDERSTANDING THE COMPLEXITY OF PATIENT RESPONSE TO PD 
THERAPY ............................................................................................................... 126 
Introduction to Precision Medicine ....................................................................... 126 
Precision Medicine in Parkinson’s Disease .......................................................... 127 
Heterogeneity in Clinical Response to PD-related Therapy ................................. 129 
ROLE OF BDNF IN HETEROGENETIY OF CLINICAL RESPONSE TO PD 
THERAPY ............................................................................................................... 130 
Introduction to BDNF ............................................................................................ 131 
BDNF Gene Structure and Isoform Processing .................................................... 132 
BDNF Sorting and Release .................................................................................. 136 
BDNF Signaling .................................................................................................... 137 
PD and BDNF ...................................................................................................... 142 
Utilizing BDNF as a Potential Therapeutic ........................................................... 145 
Genetic Polymorphisms of BDNF ......................................................................... 152 
ix 
 
HETEROGENEITY IN SIDE EFFECT LIABLITY OF  
CELL TRANSPLANTATION ................................................................................... 156 
GID and the rs6265 BDNF SNP ........................................................................... 156 
Goals of Current Research .................................................................................. 156 
BIBLIOGRAPHY ..................................................................................................... 159 
CHAPTER 3: PRECISION MEDICINE IN PARKINSON’S DISEASE: HOST/DONOR 
INTERACTIONS AND GRAFT-INDUCED DYSKINESIA LIABILITY IN HOMOYZGOUS 
rs6265 (MET/MET) BDNF PARKINSONIAN RATS .................................................... 181 
ABSTRACT ............................................................................................................. 182 
INTRODUCTION ..................................................................................................... 183 
METHODS ............................................................................................................... 187 
Animals ................................................................................................................ 187 
Experimental Design and Timeline ....................................................................... 188 
Nigrostriatal 6-OHDA Stereotaxic Surgery ........................................................... 190 
Amphetamine-mediated Rotational Behavior ....................................................... 190 
Levodopa Administration and LID Ratings ........................................................... 191 
Donor Tissue Preparation and Neural Cell Transplantation ................................. 192 
Graft-induced Dyskinesia (GID) ........................................................................... 193 
Necropsy .............................................................................................................. 194 
Histology .............................................................................................................. 194 
Tyrosine hydroxylase (TH) Immunohistochemistry for Stereological  
Quantification of Graft Cell Number and Volume ................................................. 194 
Stereological Quantification of Neurite Outgrowth ............................................... 195 
Immunofluorescence (IF) ..................................................................................... 196 
Fluorescent In Situ Hybridization (FISH) using RNAscopeTM ............................... 197 
Fluorescent Image Acquisition ............................................................................. 198 
Imaris® Fluorescent Image Quantification ........................................................... 199 
Statistical Analysis ................................................................................................ 201 
RESULTS ................................................................................................................ 203 
The homozygous rs6265 (Met/Met) genotype, in either host or donor, demonstrates 
superior graft efficacy and earlier amelioration of LID behavior ........................... 203 
Cell survival, graft volume, and neurite outgrowth are not significantly affected by 
the WT and/or homozygous rs6265 (Met/Met) genotype in host or donor ........... 208 
Homozygous rs6265 (Met/Met) parkinsonian rats engrafted with WT DA neurons 
remain the only host/donor combination to develop aberrant GID behavior ......... 210 
Homozygous rs6265 (Met/Met) parkinsonian rats engrafted with WT DA neurons 
express lower BDNF receptor transcript ratios (TrkB to p75NTR) .......................... 215 
Aberrant GID behavior in homozygous rs6265 (Met/Met) parkinsonian recipients of 
WT DA grafts is associated with excess DA release ............................................ 219 
GID behavior in homozygous rs6265 (Met/Met) parkinsonian rats engrafted with 
WT DA neurons is not correlated to immune marker expression in the parkinsonian 
striatum ................................................................................................................ 222 
DISCUSSION .......................................................................................................... 225 
BIBLIOGRAPHY ..................................................................................................... 237 
x 
 
 
CHAPTER 4: EXOGENOUS BDNF TREATMENT EXACERBATES GRAFT-INDUCED 
DYSKINESIA IN HOMOZYGOUS rs6265 (MET/MET) PARKINSONIAN RATS ........ 246 
ABSTRACT ............................................................................................................. 247 
INTRODUCTION ..................................................................................................... 248 
METHODS ............................................................................................................... 253 
Experimental Animals ........................................................................................... 253 
Experimental Timeline .......................................................................................... 254 
Nigrostriatal Lesioning with 6-OHDA .................................................................... 254 
Amphetamine-Induced Rotational Behavior ......................................................... 256 
Levodopa Administration and LID ratings ............................................................. 256 
Preparation of Donor Tissue and Cell Transplantation ......................................... 257 
Intrastriatal BDNF Infusions ................................................................................. 258 
Graft-induced Dyskinesia (GID) Ratings .............................................................. 259 
Necropsy .............................................................................................................. 259 
Histology .............................................................................................................. 260 
TH graft Cell Number and Volume ....................................................................... 260 
Neurite Outgrowth ................................................................................................ 261 
Immunofluorescence ............................................................................................ 262 
Fluorescent Image Acquisition ............................................................................. 262 
Imaris Fluorescent Image Quantification .............................................................. 264 
Statistical Analysis ................................................................................................ 266 
RESULTS ................................................................................................................ 268 
Exogenous BDNF infusion into DA-grafted animals enhances functional graft 
efficacy (i.e., amelioration of LID) and neurite outgrowth ..................................... 268 
Exogenous BDNF administration increased the severity and incidence of GID in 
DA-grafted homozygous rs6265 (Met/Met) rats ................................................... 273 
GID behavior is associated with behavioral and morphological indices of excess DA 
release in DA-grafted BDNF-infused animals ...................................................... 276 
Exogenous BDNF infusion increases microglial (Iba1) expression in DA-grafted 
animals ................................................................................................................. 285 
DISCUSSION .......................................................................................................... 290 
BIBLIOGRAPHY ..................................................................................................... 303 
CHAPTER 5: FUTURE DIRECTIONS AND CONCLUDING REMARKS ................... 314 
USING PRECISION MEDICINE TO GARNER MECHANISTIC INSIGHTS INTO GID 
BEHAVIOR .............................................................................................................. 316 
THE FUNCTIONAL BENEFIT OF rs6265 AND A POTENTIAL ROLE FOR THE 
BDNF PRO-PEPTIDE ............................................................................................. 321 
LIMITATIONS AND ALTERNATIVE APPROACHES .............................................. 326 
FUTURE DIRECTIONS ........................................................................................... 330 
The Benefit of the Met allele and the BDNF Met Pro-peptide .............................. 330 
Co-localization of VMAT2/VGLUT2 and Vesicular Synergy.................................. 331 
Graft Location....................................................................................................... 332 
Transplanting iPSCs into our rs6265 Parkinsonian Rat Model ............................. 334 
CONCLUDING REMARKS ..................................................................................... 336 
BIBLIOGRAPHY ..................................................................................................... 337 
xi 
 
LIST OF TABLES 
Table 1.1: Current Planned or Ongoing Clinical Trials for Cell Transplantation in PD. .. 52 
Table 3.1: Targeted Antigens with corresponding antibodies ....................................... 197 
Table 3.2: RNA Targets and RNAscopeTM probes ....................................................... 198 
Table 4.1: Targeted Antigens and corresponding antibodies ....................................... 263 
Table 5.1: Evidence of varied BDNF pro-peptide activity associated  
with rs6265 SNP expression. ...................................................................................... 323 
Table 5.2: Clinical Trials using iPSCs. ......................................................................... 335 
xii 
 
 
 
 
LIST OF FIGURES 
Figure 1.1: Progression time course of PD. ..................................................................... 5 
Figure 1.2: Classic Model of Basal Ganglia Circuitry in  
Normal & Parkinsonian brain. ........................................................................................ 11 
Figure 1.3: Risk Factors for PD. .................................................................................... 21 
Figure 1.4: Genetic variants in PD................................................................................. 25 
Figure 1.5: Sites of Action for Common Pharmacotherapies to treat PD. ...................... 35 
Figure 1.6: Types of Levodopa-induced dyskinesia (LID) and time course. .................. 37 
Figure 1.7: Unregulated Release of DA from a 5-HT Terminal. ..................................... 39 
Figure 1.8: Silencing of CaV1.3 Channels as a Promising Disease-Modifying Gene 
Therapy for PD. ............................................................................................................. 45 
Figure 1.9: Modeling Experimental GID in Rodents. ..................................................... 57 
Figure 1.10: hESCs vs. iPSCs as cell transplantation sources for PD. ......................... 72 
Figure 2.1: Precision medicine in Parkinson’s disease (PD) ....................................... 128 
Figure 2.2: BDNF Gene Structure, Processing, and Secretion. .................................. 135 
Figure 2.3: Schematic representations of conventional proBDNF and  
mBDNF signaling cascades. ....................................................................................... 140 
Figure 2.4: Summary of altered BDNF expression levels and consequences of the 
rs6265 SNP in neurodegenerative and psychiatric disorders ...................................... 144 
Figure 3.1: Experimental timeline and design. ............................................................ 189 
Figure 3.2: Impact of host/donor genotype on LID behavior and  
amphetamine-rotational asymmetry in DA-grafted parkinsonian rats .......................... 205 
Figure 3.3: Impact of host/donor genotype on graft survival and  
neurite outgrowth in DA-grafted parkinsonian rats. ..................................................... 209 
Figure 3.4: Impact of host/donor genotype on development of GID behavior and 
association with VGLUT2 expression. ......................................................................... 213 
xiii 
 
 
 
 
 
 
 
 
Figure 3.5: Impact of host/donor genotype on TrkB and p75NTR BDNF receptor 
transcript expression in DA-grafted parkinsonian rats. ................................................ 217 
Figure 3.6: Impact of host/donor genotype on DAT expression in DA-grated 
parkinsonian rats ......................................................................................................... 221 
Figure 3.7: Impact of host/donor genotype on immune marker (Iba1 and GFAP) 
expression in parkinsonian rats. .................................................................................. 223 
Figure 4.1: Experimental Design and Timeline ............................................................ 255 
Figure 4.2: Impact of BDNF supplementation on LID behavior  
and neurite outgrowth .................................................................................................. 270 
Figure 4.3: Impact of BDNF supplementation of GID behavior ................................... 275 
Figure 4.4: Exogenous BDNF administration is associated  
with indices of excess DA release ............................................................................... 280 
Figure 4.5: Exogenous BDNF infusion increases microglial (Iba1) expression in DA-
grafted animals. ........................................................................................................... 288 
Figure 4.6: Schematic diagram depicting the proposed mechanism of  
vesicular synergy. ........................................................................................................ 299 
Figure 5.1: A possible precision-medicine-based therapeutic approach  
to prevent and/or treat GID behavior prior or following DA cell transplantation. .......... 320 
Figure 5.2: Impact of the BDNF Met and WT pro-peptides on survival  
and volume (µm3) of TH+ DA neurons in cell culture. .................................................. 326 
Figure 5.3: Qualitative comparison of graft location and GID scores in  
each host/donor combination. ..................................................................................... 334 
xiv 
 
 
 
 
 
 
 
 
 
 
 
 
 
LIST OF ABBREVIATIONS 
2D 
3D  
Two-dimensional  
Three-dimensional 
3-OMD 
3-O-methyldopa 
5-HT   
5-hydroxytrypatmine (serotonin) 
6-OHDA  
6-hydroxydopamine  
8-OH-DAPT  8-Hydroxy-2-(di-n-propylamino)tetralin 
18F-DOPA 
Fluorodopa  
AADC  
Aromatic L-amino decarboxylase 
AAV 
AD 
Adeno-associated virus 
Alzheimer’s disease 
ADHD  
Attention deficit hyperactivity disorder 
AI 
Artificial Intelligence 
AIMs   
Abnormal involuntary movements 
ALS 
BBB 
Amyotrophic lateral sclerosis  
Blood-brain-barrier 
BDNF  
Brain-derived neurotrophic factor 
BG 
Basal ganglia  
CaV1.3 
Voltage-dependent, L-type calcium channel, alpha 1D subunit 
CMF   
Calcium-magnesium free  
CNS    
Central nervous system 
COMT  
Catechol-o-methyltransferase  
DA 
Dopamine 
xv 
 
 
 
 
 
 
 
 
 
 
DAB    
3,3'-Diaminobenzidine 
DAT 
Dopamine transporter 
DAT1   
Dopamine active transporter 1 gene 
DaTscan 
Dopamine transporter scan 
DBS 
DHF 
DJ-1 
DLB 
Deep brain stimulation 
7,8-Dihyrodxyflavone 
Parkinsonism-associated deglycase or Parkison disease protein 7 
Dementia with Lewy bodies 
dMSNs  
Direct pathway Medium Spiny Neuron 
DNA 
Deoxyribonucleic acid 
DREADD 
Designer Receptors Exclusively Activated by Designer Drugs 
DRD1  
Dopamine receptor 1 
DRD2  
Dopamine receptor 2 
DRT 
Dopamine replacement therapy 
ELLDOPA  Earlier vs. Later Levodopa Therapy in Parkinson’s disease 
EPA 
ER 
ERK 
Environmental Protection Agency 
Endoplasmic reticulum 
Extracellular signal-regulated kinase 
ESCs   
Embryonic stem cells 
eVM 
Embryonic ventral mesencephalic 
EWAS  
Epigenome-wide association study 
FBS 
FD 
Fetal bovine serum 
Fluorodopa 
xvi 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
FDA 
Food and Drug Administration 
GABA  
Gamma aminobutyric acid 
GBA 
Glucocerebrosidase A gene 
GDNF  
Glial-derived neurotrophic factor 
GFAP  
Glial fibrillary acidic protein  
GID 
Graft-induced dyskinesia  
GLP-1  
Glucagon-like peptide 1 
GPe 
GPi 
Globus pallidus externa 
Globus pallidus interna 
GSB-106   Bis-(N-monosuccinyl-L-seryl-L-lysine) hexamethylenediamide 
GWAS 
Genome-wide association study 
hAESCs 
Human amniotic epithelial stem cells 
HD 
Huntington’s disease 
hEVMs 
Human embryonic ventral mesencephalic cells 
hESCs 
Human embryonic stem cells 
hpNSC  
Human parthenogenetic neural stem cells 
Hz 
Iba1 
IHC 
Hertz 
Ionized calcium-binding adaptor molecule 1 
Immunohistochemistry 
iMSNs  
Indirect pathway medium spiny neuron 
iPSCs  
Induced pluripotent stem cells  
ISH 
i.p.  
In situ hybridization 
Intraperitoneal 
xvii 
 
 
 
 
 
 
 
 
 
 
 
 
 
JNKs   
c-Jun N-terminal kinases 
LAT1   
L-type amino acid transporter 1 
LB 
Lewy body 
L-DOPA 
Levodopa  
LN 
LID 
Lewy neurite 
Levodopa-induced dyskinesia 
LRRK2 
Leucine rich repeat kinase 2 
LTD 
LTP  
Long-term depression 
Long-term potentiation  
MAO   
Monoamine oxidase  
MAOBIs 
Monoamine oxidase type B inhibitors 
MAPK  
Mitogen-activated protein kinase 
MCI 
Mild cognitive impairment  
MDD   
Major depressive disorder 
MDS   
International Parkinson and Movement Disorder Society 
MFB 
Medial forebrain bundle 
MHC-II 
Major histocompatibility complex 2 
M/M 
Homozygous rs6265 Met/Met genotype grafted with Met/Met donor cells 
MMP   
Matrix metalloproteases  
MPTP  
1-Methyl,-4-phenyl-1,2,3,6-tetrahydropyridine 
mRNA  
Messenger ribonucleic acid 
MS 
Multiple sclerosis 
MSA   
Multiple system atrophy 
xviii 
 
 
 
 
 
 
 
 
 
MSCs  
Mesenchymal stem cells 
MSN   
Medium spiny neuron 
MTA 
Medial terminal nucleus 
mTOR  
Mechanistic target of rapamycin 
M/W 
Homozygous rs6265 Met/Met genotype engrafted with WT donor cells 
NeuN   
Pan neuronal marker 
NFκB   
Nuclear factor kappa B 
NGF 
Nerve growth factor 
NGS   
Normal goat serum 
NIH 
National Institute of Health 
NMDA  
N-methyl-D-aspartate  
NT-3   
Neurotrophin-3 
NT-4/5 
Neurotrophin-4/5 
OCD   
Obsessive compulsive disorder 
p75NTR 
pan 75 neurotrophin receptor 
PASCs 
Pluripotent stem cells isolated from adipose tissue 
PD 
Parkinson’s disease 
PDQ-39 
Parkinson’s disease questionnaire 39 
PET 
Positron emission tomography 
PI3K   
Phosphatidylinositol 3-kinase 
PINK1  
PTEN-induced putative kinase 1 
PLCγ   
Phospholipase Cγ 
PMI 
Precision Medicine Initiative 
xix 
 
 
 
 
 
 
 
 
 
PNS 
Peripheral nervous sytem 
PRKN  
Parkin gene 
PTSD   
Post-traumatic stress disorder  
PSP 
Progressive supranuclear palsy  
PWAS  
Pesticide-wide association study  
QSBB  
Queen Square Brain Bank 
rAAV   
Recombinant adeno-associated virus 
REM   
Rapid eye movement  
RhoA   
Ras homolog gene family member A 
RNA 
Ribonucleic acid 
s.c. 
Subcutaneous 
SERT  
Serotonin transporter 
shRNA 
Short hairpin ribonucleic acid 
SN 
Substantia nigra 
SNCA  
Synuclein alpha (α) 
SNpc   
Substantia nigra pars compacta 
SNpr   
Substantia nigra pars reticulata  
SNP 
Single nucleotide polymorphism 
SorCS2 
Sortilin-related Vps10p domain containing receptor 2 
SPECT  
Single photon emission computed tomography 
STN 
Subthalamic nucleus 
STR    
Striatum 
TBI 
Traumatic brain injury 
xx 
 
 
 
 
 
 
 
 
 
TBS 
Tris-buffered saline 
TBS-Tx  
Tris-buffered saline with Triton-X 
TGN 
Trans-Golgi network 
TH 
Trk 
TrkA 
TrkB 
TrkC 
Tyrosine hydroxylase 
Tropomyosin receptor kinase 
Tyrosine receptor kinase A 
Tyrosine receptor kinase B 
Tyrosine receptor kinase C 
UPDRS 
Unified Parkinson’s Disease Rating Scale 
US 
United States 
UTR 
Untranslated region 
VAChT 
vesicular acetylcholine transporter  
VGLUT 
Vesicular glutamate transporter 
VGLUT2 
Vesicular glutamate transporter 2 
VGLUT3 
Vesicular glutamate transporter 3 
VM 
Ventral mesencephalon 
VMAT2 
Vesicular monoamine transporter 2 
Vps10  
Vacuolar protein sorting 10 
VPS35   
Vacuolar protein sorting ortholog 35 
VTA 
W/M 
Ventral tegmental area 
WT genotype engrafted with Met/Met donor cells 
W/W    
WT genotype engrafted with WT donor cells 
xxi 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
CHAPTER 1: INTRODUCTION TO PARKINSON’S DISEASE (PD) 
1 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
HISTORY 
In 1817, James Parkinson, an English surgeon and apothecary, was the first to 
describe the disease that came to bear his name, Parkinson’s disease (PD). He referred 
to the disorder as a shaking palsy or paralysis agitans. In his published work entitled, 
“An Essay on the Shaking Palsy,” he made prominent observations of individuals who 
demonstrated “involuntary tremulous motion, with lessened muscular power…with a 
propensity to bend the trunk forward, and to pass from a walking to a running pace; the 
senses and intellect being uninjured” (Parkinson, 2002). Those afflicted with the disease 
showed slow progression and a profound decrease in quality of life. Along with these 
symptoms, of which are now considered the classic motor symptoms of PD, Parkinson 
also remarkably noted the sleep and autonomic (e.g., constipation) components of PD, 
classified today as common non-motor features (Chaudhuri & Jenner, 2017; Goetz, 
2011; Parkinson, 2002).  
Fifty years following Dr. Parkinson’s observations, a French neurologist, Jean-
Martin Charcot, further described the manifestations of PD and distinguished 
bradykinesia as a primary motor feature. Charcot wisely recognized that not all 
individuals with PD demonstrated a marked weakness or tremor; therefore, he rejected 
the title of paralysis agitans or shaking palsy and recommended a name change to 
“Parkinson’s disease” (Charcot, 1892; Goetz, 2011). Many additional valuable 
observations were made in the years following, one of which was the identification that 
PD expressed a slight male predominance. This was discovered by William Gowers, a 
British neurologist, in 1888 (Gowers, 1898).  
2 
 
Although several clinical manifestations were detailed in regard to PD, it was not 
until the 1920s that significant pathological findings of the disease were determined. For 
example, Brissaud was the first to propose that damage to the substantia nigra (SN) 
may be the underlying pathology responsible for PD in 1925 (Edouard Brissaud, 1899). 
Also in the 1920s, additional pathological studies of the midbrain were separately 
conducted by Tretiakoff and Foix and Nicolesco (C Trétiakoff, 1921; Foix, 1925). The 
most comprehensive pathologic analysis which included the demarcation of brain 
lesions, however, was not performed until 1953 by Greenfield and Bosanquet (see 
(Greenfield & Bosanquet, 1953) for more details).  
Finally, in 1959, Bertler and Rosengren and Sano and colleagues proposed the 
possibility that dopamine (DA) was involved in the pathogenesis of PD. They 
demonstrated that the majority of DA in the brain was found in the caudate nucleus and 
putamen, both in dogs and in humans (Bertler & Rosengren, 1959; Hornykiewicz, 2010; 
Sano et al., 1959). To confirm, Oleh Hornykiewicz, an Austrian biochemist, analyzed the 
brains of patients with PD in 1960, discovering that these patients, indeed, had profound 
loss of DA in the caudate and putamen. Hornykiewicz further observed a loss of DA 
neurons in the SN, suggesting that this was the cause of the DA terminal loss in the 
striatum (Birkmayer & Hornykiewicz, 1961; Ehringer & Hornykiewicz, 1960). These 
findings enabled additional research to be conducted, specifically into the nigrostriatal 
pathway (Dahlstroem & Fuxe, 1964; Poirier & Sourkes, 1964; Sourkes & Poirier, 1965). 
The discovery of DA loss in these regions radically changed the field’s understanding of 
PD pathophysiology and remarkably led to the development of successful 
3 
 
pharmacotherapies (e.g., levodopa), some that remain clinically routine to this day 
(Cotzias et al., 1967). 
SYMPTOM PRESENTATION AND CLINICAL DIAGNOSIS 
Parkinson’s disease is the second most common neurodegenerative disease 
following Alzheimer’s disease (AD), affecting 9.3 million people worldwide (Espay et al., 
2017; Maserejian et al., 2020; Schalkamp et al., 2022). If PD maintains its current 
growth rate, approximately 13 million people are estimated to be diagnosed with PD by 
the end of 2040 (Dorsey et al., 2018; Straccia et al., 2022). Consequently, PD has 
placed significant strain on society. Not only does PD cause a poor quality of life, the 
total economic burden was estimated to be $51.9 billion in 2017 and projected to 
surpass $79 billion by the year 2037 (Yang et al., 2020). In the following paragraphs, the 
classic motor symptoms, non-motor symptoms, and clinical diagnosis of PD are 
discussed.  
Classic Motor Symptoms 
As a movement disorder, PD is known to exhibit several prominent motor 
features including bradykinesia, resting tremor, rigidity, and postural instability. The most 
characteristic of these symptoms is bradykinesia, which is defined as slowness of 
movement. While bradykinesia first manifests as a slowness in daily task performance 
(J. A. Cooper et al., 1994; Giovannoni et al., 1999), it often progresses to the loss of 
spontaneous movement, drooling (Bagheri et al., 1999), and a reduction in arm swing 
whilst walking (Jankovic, 2008). In addition to bradykinesia, another major symptom is 
resting tremor. These tremors occur at a frequency of 4-6 Hertz (Hz) and tend to affect 
the distal part of the extremities. While resting tremor does not often impact the neck, 
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head, or voice, it does involve the chin, jaw, and legs. Interestingly, resting tremor 
diminishes with action or while an individual is sleeping—a characteristic that helps 
differentiate PD from other disorders such as essential tremor (Jankovic, 2008).  
is  characterized  by  several  non-motor  symptoms 
Figure 1.1: Progression time course of PD. 
PD is often preceded by premotor symptoms (i.e., prodromal phase) of an estimated 20+ 
years.  This  phase 
including 
constipation, rapid eye movement disorder (REM), and depression. At time of diagnosis, 
when 50-60% of DA neurons in the substantia nigra (SNpc) have already been lost (Dauer 
&  Przedborski,  2003),  motor  symptoms  including  bradykinesia,  rigidity,  tremor,  and/or 
postural  instability  are  present.  Dyskinesias  (e.g.,  LIDs)  also  develop  in  approximately 
90% of patients by 10 years of treatment with levodopa (Hauser et al., 2017; Huot et al., 
2013,  2022). Abbreviations:  PD  =  Parkinson’s  disease.  REM  =  rapid  eye  movement. 
Schematic adapted from (L. V Kalia & Lang, 2015). 
Rigidity,  another  common  motor  feature,  is  characterized  by  stiffness  and 
increased  resistance  to  passive  movement.  Unfortunately,  rigidity  can  also  be 
accompanied by pain, often getting misdiagnosed as arthritis, bursitis, or a rotator cuff 
injury  (Jankovic,  2008;  Riley  et  al.,  1989).  The  last  major  motor  symptom  is  postural 
5 
 
 
instability, which tends to manifest in the later stages of PD. Postural instability involves 
the  loss  of  postural  reflexes,  frequently  resulting  in  falls  and  subsequent  hip  fractures 
(Williams, 2006). The later onset of falls, however, can be used to distinguish PD from 
other  parkinsonian  disorders including  multiple  system  atrophy  (MSA) and progressive 
supranuclear palsy (PSP). Although the discussed signs are considered to be the “classic 
hallmarks” of PD, there are additional secondary motor difficulties that several patients 
with  PD  can  also  exhibit.  These  include,  but  are  not  limited  to,  freezing  gait,  speech 
impairment  (e.g.,  microphonia),  micrographia  (small  handwriting),  and  respiratory 
disturbances (Figure 1.1) (Jankovic, 2008; Jankovic & Tolosa, 2007; Lees et al., 2009; 
Moustafa et al., 2016). 
Non-Motor Symptoms 
Despite being primarily considered a movement disorder, PD has long been 
associated with several non-motor signs and symptoms as well. Indeed, in James 
Parkinson’s report in 1817 (discussed previously), he observed non-motor symptoms 
alongside the classic motor symptoms in his patients (Parkinson, 2002). To date, 
numerous non-motor features have been noted in PD including constipation, urinary 
dysfunction, memory loss, depression, orthostatic hypotension, and sleep disturbances. 
Markedly, these non-motor symptoms frequently precede motor dysfunction by years or 
decades (Figure 1.1) (G. W. Ross et al., 2012; Tolosa et al., 2021). 
One of the most pronounced non-motor symptom individuals with PD exhibit is 
sleep disturbances, also referred to as rapid eye movement (REM) sleep behavior 
disorder. Over one-third of individuals will experience this disorder prior to their PD 
diagnosis, often mentioning an increase in violent dreams (Borek et al., 2007), as well 
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as sleep talking, kicking, and yelling. Also of note, greater than 50% of patients will have 
experienced insomnia to some degree (Boeve et al., 2007; Gjerstad et al., 2006). 
Additional non-motor features that patients with PD can demonstrate include obsessive 
compulsive disorder (OCD) and impulsive behaviors such as gambling or binge eating. 
Moreover, sensory abnormalities like olfactory dysfunction, a symptom not often 
recognized as a parkinsonian feature, recently have been correlated with a 10% 
increased risk of developing PD (Ponsen et al., 2004). Finally, although cognitive 
dysfunction is not yet fully understood in PD, a prospective study conducted by Aarsland 
and colleagues reported that patients with PD are at a sixfold increased risk for 
developing dementia (Aarsland et al., 2001).  
Clinical Diagnosis  
Currently, there is no definitive test to diagnose PD. Histopathological 
postmortem analysis is required to conclusively establish a PD diagnosis by confirming 
the presence of Lewy bodies (see Neuropathology below) (Jankovic, 2008). Although 
outside the realm of this thesis discussion, it is important to note that there are 
exceptions with specific genetic mutations (e.g., G2019S LRRK2) which lack Lewy body 
pathology at autopsy (see (O’Hara et al., 2020)). Nevertheless, there are clinical 
diagnostic criteria in place including the Queen Square Brain Bank (QSBB) criteria and 
the criteria generated by the International Parkinson and Movement Disorder Society 
(MDS), but these criteria are not without issue. For instance, in clinical practice, error 
rates for diagnostic misclassification can range from 15-24% (Hughes et al., 1992; 
Rajput & Rajput, 2014; Schrag, 2002; Tolosa et al., 2021). Furthermore, in over 10% of 
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cases that are diagnosed by PD neurologists, alternative pathologies were seen to be 
present upon postmortem autopsy (Tolosa et al., 2021).  
The criteria used for clinical PD diagnosis are centered around characterizing 
motor signs and symptoms. The QSBB criteria, which was initially proposed in the 
1980s, has been the most widely used criteria for clinical PD diagnosis up until 2015 
when the International Parkinson and MDS added its refinement (Gibb & Lees, 1988; 
Lees et al., 2009; Marsili et al., 2018; Postuma et al., 2015). Generally, these criteria 
rely on neurological examination, first identifying bradykinesia as a major motor 
symptom, in addition to resting tremor and/or rigidity (step one). Step two involves 
establishing that the patient does not exhibit symptoms or a history that would be 
indicative of another non-PD disorder (e.g., stepwise decline, repeated head trauma, 
encephalitis). Step three indicates whether the patient presents supportive criteria 
including resting tremor, unilateral onset, evidence of progression, a response to 
levodopa (L-3,4-dihydroxyphenylalanine), development of levodopa-induced dyskinesia 
(LID), and a long clinical course of 10 years or more (Gibb & Lees, 1988). 
In 2015, after scientific advancement, MDS refined the set of diagnostic criteria 
established by QSBB in order to further improve the diagnostic accuracy of PD. With the 
new criteria, two new diagnostic categories were created including the “Clinically 
Established PD” and “Clinically Probable PD” categories. These new categories 
incorporated what is referred to as “red flags:” factors that would exclude PD. However, 
when combined with supportive criteria, they do not exclude PD. Two ancillary tests 
were also added including olfactory dysfunction tests and cardiac imaging (Munhoz et 
al., 2024). Importantly, the MDS criteria has demonstrated great sensitivity (96%) and 
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specificity (95%) in a validation study for a clinical diagnosis of “probable PD” (Postuma 
et al., 2018). For individuals in the earlier stages of the disease (less than 5 years), the 
specificity of “clinically probable” PD was 87% (Postuma et al., 2018). In order to further 
enhance accuracy for early (i.e., prodromal) disease stages, additional tests and 
biomarkers are required.  
To reiterate, these criteria are based on motor signs and symptoms of PD. Yet, 
evidence has demonstrated that pathological and neurochemical markers for PD are 
established long before the exhibition of these motor symptoms. Because of this, and 
because non-motor symptoms are difficult to categorize so early-on due to their 
ambiguous nature, delineating non-motor, prodromal features of the disease (Figure 
1.1) will be imperative for the development of disease-prevention or disease-reversal 
therapy for PD. Scientists and clinicians have been making positive strides in this area: 
ancillary tests are being utilized concomitantly with the clinical diagnostic criteria in 
order to increase diagnostic accuracy. For example, molecular neuroimaging such as 
the dopamine transporter scan (DaTscan) can be used to discriminate between PD and 
essential tremor (Benamer et al., 2000). Unfortunately, however, DaTscan imaging 
cannot be used to differentiate between PD and MSA or PSP because of their shared 
degenerative characteristics (Tagare et al., 2017). Genetic testing has also been a 
useful ancillary test; however, only LRRK2 mutations have been screened successfully 
(Tolosa et al., 2006) and may be of limited value since over 90% of PD cases are 
idiopathic. Ultimately, it would be most promising if future research could uncover 
disease-specific biomarkers that would aid in the delineation between PD and other 
similar neurodegenerative disorders (Jankovic, 2008). 
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A correct diagnosis of PD is necessary for proper patient counseling and therapy 
development. Despite achieving rather high specificity and sensitivity, clinical diagnostic 
criteria remain fallible and still lead to misdiagnoses. While several ancillary tests have 
been developed and implemented in order to increase diagnostic accuracy, these tests 
are costly and not without caveats. Until further discoveries are made (e.g., biomarker 
development), histopathological confirmation of the presence of Lewy bodies in 
postmortem tissue remain the criteria for the definitive diagnosis of PD. The underlying 
neuropathology of PD is further discussed below.  
NEUROPATHOLOGY 
The Basal Ganglia 
The major pathological hallmarks of PD include the loss of DA neurons in the 
SNpc and the presentation of intracellular inclusion aggregates of the protein α-
synuclein, referred to as Lewy bodies (Obeso et al., 2002). Although these two features 
of PD are widely recognized as the pathological hallmarks of the disease, the underlying 
pathology is heterogenous and can vary greatly among individuals (Halliday et al., 
2008). Despite various other pathologies that may contribute to PD, the present 
discussion is only focused on these two neuropathological characteristics. The region of 
the brain that is most affected by these pathologies, subsequently leading to cardinal 
motor signs and symptoms of PD, is the basal ganglia (BG) (Figure 1.2a). Therefore, 
the structure and function of the BG are reviewed below. 
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a) 
b) 
Figure 1.2: Classic Model of Basal Ganglia Circuitry in Normal & Parkinsonian 
brain. 
(a) Coronal diagram of the BG in the human brain, excluding the substantia nigra pars 
compacta and reticulata, which are combined as SNpc in (b) for simplicity. (b) Schematic 
illustration  of  the  classic  BG  model,  including  the  direct  and  indirect  pathways  in  both 
healthy  and  parkinsonian  brains.  The  caudate  and  putamen  were  condensed  for 
simplicity. This is a limited representation of the mechanisms of the basal ganglia. Black 
lines indicate glutamatergic (solid) and GABAergic (dashed) neurons. The direct and  
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Figure 1.2 (cont’d) 
indirect  pathways  are  shown  in  green  and  red,  respectively.  Blue  arrows  demonstrate 
dopaminergic projections to both the direct (light blue) and indirect (dark blue) pathways. 
In the parkinsonian state, a red “X” demarcates the degeneration of the DA neurons in 
the substantia nigra pars compacta. Abbreviations: GPe = globus pallidus externa; GPi = 
globus  pallidus  interna;  SNpc  =  substantia  nigra  pars  compact;  STN  =  subthalamic 
nucleus. 
The  BG  are  a  group  of  seven  subcortical  nuclei  responsible  for  motor  control, 
reward-based learning, goal-directed behavior, and emotion (Chakravarthy et al., 2010; 
Lanciego et al., 2012). The seven nuclei include the caudate nucleus, putamen, globus 
pallidus  interna  (GPi),  globus  pallidus  externa  (GPe),  subthalamic  nucleus  (STN),  the 
substantia nigra pars compacta (SNpc), and the substantia nigra pars reticulata (SNpr) 
(Chakravarthy  et  al.,  2010).  This  list  can  further  be  categorized  into  input,  output,  or 
intrinsic  nuclei  (Lanciego  et  al.,  2012).  The  caudate  and  putamen  make  up  the  input 
nuclei, and functionally, these nuclei receive information from the cortex, the thalamus, 
and the SN. The output nuclei, including the GPi and the SNpr, send information to the 
thalamus. The GPe, the STN, and the SNpc are considered the intrinsic nuclei, and they 
relay  information  between  the  input  and  output  nuclei.  In-depth,  comprehensive 
summaries regarding BG anatomy can be found in (Chakravarthy et al., 2010; Gerfen & 
Wilson, 1996; MINK, 1996; Y. Smith et al., 1998). 
Functionally, the BG system requires the release of DA from SNpc neurons to its 
input nuclei (i.e., caudate and putamen), which are collectively called the striatum (STR) 
(Lanciego et al., 2012). Approximately 90% of the striatum consists of projection 
neurons (i.e., medium spiny neurons (MSNs)) and 10% interneurons. Structurally, MSNs 
are named for their appearance: they are multipolar neurons with medium-sized cell 
somas (~12-20µm in diameter), and their dendritic processes are covered with dendritic 
spines (Gerfen & Bolam, 2010). In general, two types of MSNs exist. Some MSNs 
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express dopaminergic receptor type 1 (DRD1), and some express dopaminergic 
receptor type 2 (DRD2), which generate two circuits that exert differential effects 
according to the classical model of the BG system. Both subtypes, however, release the 
inhibitory neurotransmitter, gamma aminobutyric acid (GABA; GABAergic) upon 
activation. 
The two circuits of the classical BG model include the direct and indirect 
pathways (Figure 1.2b). These circuits are thought to have oppositional effects (Albin et 
al., 1989; Calabresi et al., 2014; DeLong, 1990; Lanciego et al., 2012) in which the 
direct pathway proposedly promotes motor movement/selection, whereas activation of 
the indirect pathway is theorized to inhibit movement/selection. Neurons designated as 
A9 DA neurons from the SNpc project their axons onto the MSNs in the STR; the DA 
input on MSNs with DRD1 (dMSNs) exerts a faciliatory effect (direct pathway) and an 
inhibitory effect on DRD2-expressing MSNs (iMSNs; indirect pathway) (Chakravarthy et 
al., 2010; D. L. Clark et al., 2010; Lanciego et al., 2012). In this way, activation of the 
direct pathway will inhibit GPi activity, disinhibiting the thalamus, and promoting 
neuronal firing. The result is initiation of motor movement. Contrarily, activation of the 
indirect pathway will inhibit the activation of the GPe, disinhibit the STN, and allow for 
the GPi neurons to activate, inhibiting the thalamus, and ceasing motor movement. 
Under normal resting conditions, the indirect pathway is the “active” pathway in which 
tonically released DA inhibits activation of downstream motor systems (Chakravarthy et 
al., 2010). Upon phasic DA activation, the increase in striatal DA shifts the balance 
toward the direct pathway, allowing motor systems to activate (Chevalier et al., 1985; 
Deniau & Chevalier, 1985). 
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It is also important to note that glutamatergic excitatory projections from the 
cortex make synaptic connections generally onto the heads of dendritic spines of MSNs 
in the STR (Bouyer et al., 1984; Hattori et al., 1979; Z. C. Xu et al., 1989). 
Glutamatergic afferents from the thalamus similarly form connections onto MSNs; 
however, these afferents synapse onto the dendritic shafts of MSNs instead of the head 
of the spines (Dubé et al., 1988; Lacey et al., 2005; Z. C. Xu et al., 1991). The DA 
projections that extend from the SNpc make en passant synaptic appositions onto the 
necks of the dendritic spines of the MSNs and then modulate excitatory glutamatergic 
input coming into the MSNs from the heads of the same dendritic spines (Bamford et 
al., 2004; Bouyer et al., 1984; T. F. Freund et al., 1984; Gerfen & Surmeier, 2011; W. 
Shen et al., 2016; Yamamoto & Davy, 1992). In this way, both the glutamatergic input 
and the dopaminergic modulatory behavior is critical for normal motor function.  
In PD, the degeneration of DA neurons in the SNpc results in DA depletion in the 
STR (Figure 1.2b). Consequently, MSN activation in the direct pathway is reduced, 
resulting in a relative increase in the activity of the indirect circuit. The result is 
overstimulation of the GPi, ultimately diminishing movement execution, and thus leading 
to the classic motor features of PD. In the DA neurons that do survive, intracellular α-
synuclein inclusions tend to form, representing another pathology of PD. Both DA 
degeneration and α-synuclein aggregation pathologies are described below. 
Nigrostriatal Degeneration and DA Depletion 
One of the defining pathological characteristics of PD is the selective 
degeneration of dopaminergic neurons in the SNpc, specifically in the ventrolateral tier 
(A9) (Dickson, 2012; Fearnley & Lees, 1991; Kordower et al., 2013; Obeso et al., 2002; 
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Rudow et al., 2008). Interestingly, the dorsal and medial (i.e., A8 and A10) neurons are 
less vulnerable to degeneration, which has been demonstrated in both PD patients and 
animal models (Brooks et al., 1990; Iravani et al., 2005; Kish et al., 1988). From 
nigrostriatal afferents, DA is released tonically to the STR, with transient bursts of phasic 
release (A. A. Grace, 1991; A. Grace & Bunney, 1984). Rewarding events will induce 
brief phasic DA release, while adverse, negative events will decrease DA activity 
(Redgrave & Gurney, 2006; Schultz, 1998)—a phenomenon central to motor learning. 
As described above, at resting, tonic release of DA maintains sufficient DA levels in the 
STR as well as tonic DA receptor stimulation critical for normal BG function (Olanow et 
al., 2006; Venton et al., 2003). Degeneration of this system thus leads to a decrease in 
striatal DA, interfering with normal motor movement and action selection, thus resulting 
in motor symptoms of PD.  
The extent of nigrostriatal degeneration in individuals with PD has been studied. 
For example, Kordower and colleagues demonstrated that, at year one post-diagnosis, 
a modest loss of dopaminergic terminals in the STR was present visualized by 
decreased staining of dopaminergic markers (e.g. tyrosine hydroxylase (TH)). At three 
years post-diagnosis, there was marked loss of DA neuron staining (35-75%), and at 
four years, there was almost complete loss of DA fibers in the STR. Over the same time 
period and in the same patients, there was a 50-90% loss of DA neurons in the SNpc 
(Kordower et al., 2013). Further, other research groups have reported a 44-98% 
reduction in striatal DA levels in advanced PD (Bernheimer et al., 1973; Ehringer & 
Hornykiewicz, 1960; Rajput et al., 2008).  
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The morphological and functional effects of striatal DA depletion has also been 
studied extensively (see (Villalba & Smith, 2018) for review). More specifically, a 
significant reduction in spine density of striatal MSNs, both in length and in number 
(McNeill et al., 1988), has been observed in postmortem tissue from individuals with PD 
(Stephens et al., 2005; Villalba & Smith, 2018; Zaja-Milatovic et al., 2005), in 
parkinsonian rodent models (Ingham et al., 1989, 1998; Zhang et al., 2013), and in 
parkinsonian non-human primates (Villalba 2008). In addition to changes in spine 
density, glutamatergic reorganization has been observed in the DA-denervated striatum 
(Arbuthnott et al., 2000; M. Day et al., 2006; Gubellini et al., 2002; Ingham et al., 1998; 
Liang et al., 2008; Zhang et al., 2013). For instance, parkinsonian rodent models have 
exhibited a decrease in the quantity of glutamatergic asymmetric synaptic contacts onto 
MSNs in the striatum (Ingham et al., 1993, 1998). Collectively, this evidence 
demonstrates that DA plays a critical role in regulating the growth, maintenance, and 
plasticity of dendritic spines and glutamatergic connections onto MSNs (Arbuthnott et 
al., 2000; Robinson & Kolb, 1999). It remains to be determined, however, whether 
dendritic spine loss is an early or late-stage phenomenon in PD. Nevertheless, recent 
studies that targeted calcium channels in order to block calcium influx have exhibited 
promising prevention of dendritic spine loss in MSNs (Soderstrom et al., 2010; Steece‐
Collier et al., 2019); this could, in turn, be used as a therapeutic target to prevent the 
progression of DA degeneration in PD. 
Lewy Body Pathology 
The other defining pathological characteristic of PD is the accumulation of 
misfolded α-synuclein protein. Α-synuclein is a soluble, heat stable protein 
16 
 
approximately 140 amino acids in length (Jakes et al., 1994; McCann et al., 2014). Its 
physiological function remains elusive; however, several studies have proposed a role 
of α-synuclein in the maintenance of synapses, mitochondrial homeostasis, proteosome 
function, and DA metabolism (McCann et al., 2014; Ramalingam et al., 2023; Uversky, 
2003). Α-synuclein is known to be highly expressed in neurons of the frontal cortex, 
hippocampus, and the STR (Iwai et al., 1995; Norris et al., 2004). While under normal 
conditions, α-synuclein functions properly, in the context of PD, it forms insoluble 
inclusions within neuronal cell processes or cell bodies, referred to as Lewy neurites 
(LNs) and Lewy bodies (LBs), respectively.  
Frederick Lewy was the first to describe these α-synuclein LN/LB inclusions in 
1912. However, it was not until 1997-1998 that significant advancements were made 
that linked α-synuclein accumulation to LN/LB in PD and other disorders such as MSA 
or dementia with Lewy bodies (DLB) (McCann et al., 2014; Norris et al., 2004). Lewy 
bodies are described to contain a dense core of aggregated α-synuclein surrounded by 
a halo of fibrils that are approximately 10-15 nanometers (nm) in diameter (Arima et al., 
1998; Baba et al., 1998; Forno, 1969; Galloway et al., 1992; Spillantini et al., 1998; 
Tiller-Borcich & Forno, 1988). Indeed, cytoplasmic inclusions of α-synuclein are 
abnormal since α-synuclein is normally localized primarily to presynaptic terminals. 
Although the mechanistic consequences of Lewy pathology remain to be fully 
elucidated, it has been postulated that Lewy body inclusions negatively affect protein 
transport and organelle function (Duffy & Tennyson, 1965; Hill et al., 1991; M. L. 
Schmidt et al., 1991), often leading to cell death. In confirmation, experiments that have 
overexpressed α-synuclein in rodent models have demonstrated an inhibition of 
17 
 
neurotransmitter (i.e., DA) release (Gaugler et al., 2012; Nemani et al., 2010), as well as 
a 60-80% reduction of DA innervation to the STR (Lundblad et al., 2012). 
In 2003, Braak and colleagues generated a staging scheme for α-synuclein 
pathology largely based on the distribution and progression of α-synuclein over time 
(Braak et al., 2003). In this model, Lewy pathology is described in six stages. Pathology 
is first proposed to begin in the enteric nervous system and then travel to the dorsal 
motor nucleus of the vagus nerve in the medulla and to the olfactory nucleus (stage 1 
and 2) (Dickson, 2012). Pathology is then proposed to migrate to the locus coeruleus, 
and then to the DA neurons in the SNpc (stage 3). Later stages (i.e., 4-6) exhibit 
pathology in the basal forebrain, amygdala, and cortical areas (Dickson, 2012; McCann 
et al., 2014).  
While several clinical studies have reported results in favor of this Braak staging 
scheme (e.g., (Halliday et al., 2008)), one of which reported a 67% proportion of cases 
that successfully fit the staging scheme (Dickson et al., 2010), other groups have shown 
that pathology does not always follow the proposed distribution of α-synuclein. Indeed, 
in some elderly individuals with PD, Lewy pathology was exclusively found in the 
olfactory bulb (Beach et al., 2009; Fujishiro et al., 2008) or in the amygdala (Uchikado et 
al., 2006). Moreover, some neurologically “normal” individuals who were without PD 
signs or symptoms still exhibited widespread Lewy pathology (Frigerio et al., 2011; 
Parkkinen et al., 2005). Therefore, Braak staging remains a useful, but tentative, tool for 
PD pathophysiology. 
To date, there is controversy whether α-synuclein accumulation precedes 
neurodegeneration. While some argue that Lewy pathology is a precursor to neuronal 
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degeneration (Chu et al., 2024; Gibb & Lees, 1988), others have shown that, even at 
Braak stage 1 and 2, the quantity of DA neurons is already diminished (Milber et al., 
2012). Further challenging this central idea of α-synuclein accumulation toxicity, Lewy 
pathology is not always detected in PD brains (Buchman et al., 2012, 2019; L. V. Kalia 
et al., 2015; Milber et al., 2012; Yamashita et al., 2022), therefore suggesting that there 
could be an earlier, non-α-synuclein-related process involved in the degeneration of the 
nigrostriatal pathway in PD (Chu et al., 2024). Again, it is clear that PD is a 
heterogeneous and complex disorder as scientists continue to make strides in this field.  
RISK FACTORS AND ETIOLOGY 
Parkinson’s disease is a complex and multifaceted neurodegenerative disorder of 
largely unknown etiology. Currently, a combination of genetic and environmental risk 
factors are thought to contribute to the development of the disorder. Several 
demographic characteristics have also been associated with PD risk including gender, 
ethnicity, and advancing age, with age being the greatest risk factor (Collier et al., 2011, 
2017; L. V. Kalia et al., 2015; Van Den Eeden, 2003). In addition to age, environmental 
factors such as toxicant exposure, and genetic susceptibilities, research continues to 
identify other elements that may influence the likelihood of developing PD. For instance, 
traumatic brain injury (TBI), lifestyle choices such as diet and exercise, and diabetes 
have been more recently reported as possible risk factors or comorbidities of PD 
(Figure 1.3).  
Advancing Age 
Advancing age is known to be the greatest risk factor for developing PD (Bennett 
et al., 1996; Collier et al., 2011; J. F. Cooper et al., 2015; Morens et al., 1996; Tanner & 
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Goldman, 1996; Wyss-Coray, 2016). Yet, advancing age as a risk factor is not specific 
to PD: it is common in many other neurodegenerative diseases such as AD. Indeed, it is 
estimated that one in ten individuals over the age of 65 currently has AD, a prevalence 
that will continue to rise as our aging population increases (Hou et al., 2019). The aging 
US population (≥65 years) is estimated to increase to 88 million in the year 2050 (from 
53 million in 2018) (Hou et al., 2019). Therefore, the burden of PD will continue to 
expand, and identifying ways to halt or slow its progression continues to be a priority in 
the field of neurodegeneration. 
The role of aging in PD pathogenesis remains elusive (Pang et al., 2019). 
However, the hallmarks of aging, some of which include genome instability, telomere 
degradation, epigenetic alterations, loss of proteostasis, and mitochondrial dysfunction, 
share important biological features with PD and have been correlated to an increased 
PD risk (for review (Hou et al., 2019)). The overlap of the molecular mechanisms of 
aging and PD continue to allow scientists to make strides in neurodegenerative 
research. Experimentally, postmortem analyses of neurologically “normal” brains of 
individuals between the ages of 14 and 92 years old have established a significant 
decrease of striatal DA with advancing age (Kish et al., 1992). A loss of brain weight and 
SN volume have also been demonstrated in aging humans and non-human primates (E. 
Y. Chen et al., 2000; Chu et al., 2002). Aging mechanisms continue to be a target for 
potential therapies in PD and for other neurodegenerative disorders. 
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Figure 1.3: Risk Factors for PD.  
Schematic representation of risk factors associated with developing PD. While not fully 
elucidated, a combination and/or interaction of risk factors is thought to contribute to the 
incidence of PD. The factors presented here are only examples and are not a complete 
list. Abbreviations: TBI = traumatic brain injury.  
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Genetic Risk Factors 
Approximately 5-10% of patients with PD exhibit a monogenic (i.e., caused by a 
mutation in a single gene) form of the disorder. As of 2020, over one hundred 
pathogenic risk loci in PD have been identified using genome-wide association studies 
(GWAS) (Blauwendraat et al., 2020). Defined below, the major autosomal dominant 
mutations that have been identified include SNCA, LRRK2, and VPS35, whereas the 
autosomal recessive mutations are found in PINK1, DJ-1, and Parkin, all of which are 
known to cause PD with high penetrance. Several other genes with Mendelian 
inheritance also have been implicated in PD, specifically atypical PD (Lill, 2016; Lunati 
et al., 2018), but are not as prevalent in the general population. Overall, the vast 
majority of PD is extraordinarily complex, and it is more likely that PD is caused by a 
combination of genetic and environmental risk factors. 
SNCA 
The first autosomal dominant mutation associated with PD was found in the 
SNCA gene in 1997 (Polymeropoulos et al., 1997). SNCA encodes for α-synuclein, and 
mutations in SNCA tend to cause abnormal α-synuclein accumulation, leading to LB and 
LN formation (see Neuropathology section). Moreover, missense mutations or 
duplications of SNCA produce signs of dementia in patients with PD (Lill, 2016). 
Interestingly, there is a dosage effect of mutations in this gene. For instance, 
triplications, compared to duplications, can induce an earlier age of onset of PD of 
which progresses more rapidly (Lill, 2016; Lunati et al., 2018).  
22 
 
LRRK2 
Leucine-rich repeat kinase 2 (LRRK2) is another autosomal dominant mutation 
that has been implicated in the risk of PD development. To date, nine highly penetrant, 
pathogenic mutations have been found in LRRK2 (Healy et al., 2008; Paisán-Ruiz et al., 
2013; O. A. Ross et al., 2011; Rubio et al., 2012). LRRK2 encodes for a protein called 
dardarin which is involved in lysosomal and autophagy regulation (Lunati et al., 2018). 
Consequently, mutations in LRRK2 lead to the hyperactivation of its kinase domain 
(Alessi & Sammler, 2018); therefore, potential LRRK2 antagonists are currently being 
studied as a therapeutic for this genetic form of PD. Similar to SNCA mutations, as well 
as idiopathic PD, individuals with LRRK2 mutations exhibit typical PD symptoms and 
respond well to levodopa.  
VPS35 
The third major autosomal dominant mutation associated with PD risk is found in 
the gene for vacuolar protein sorting 35 (VPS35). This gene encodes for a protein 
responsible for synaptic endocytosis and retrograde protein transport. In this way, 
mutations in VPS35 are postulated to disrupt vesicle formation and protein trafficking 
(Lunati et al., 2018; Trinh & Farrer, 2013). PD patients with VPS35 mutations 
demonstrate typical PD symptoms and a good response to levodopa, like that of 
patients with the SNCA and LRRK2 gene mutations.  
GBA 
The most prominent genetic risk factor for PD is found in the glucocerebrosidase 
A gene (GBA). GBA encodes for glucocerebrosidase, a lysosomal hydrolase enzyme 
that catalyzes the breakdown of both glucosylceramide and glucosylsphingosine 
23 
 
(Sidransky & Lopez, 2012; L. Smith & Schapira, 2022). Approximately 5-15% of 
individuals with PD have GBA mutations, occurring more frequently than any other gene 
in familial PD (e.g., SNCA, LRRK2) (Sidransky et al., 2009), and well over 300 
pathogenic GBA mutations have been identified to date (Beutler et al., 2004; Hruska et 
al., 2008). Those with GBA mutations have an average age of onset that is estimated to 
be five years earlier than idiopathic PD (Gan-Or et al., 2008; Malek et al., 2018; 
Neumann et al., 2009; Sidransky et al., 2009), and their risk of developing cognitive 
deficits and dementia is also greater (Cilia et al., 2016; Papapetropoulos et al., 2006; 
Petrucci et al., 2020). Functionally, homozygous GBA mutations have been described 
as causative factors for Gaucher’s disease, which is a lysosomal storage disorder (see 
Figure 1.4). 
24 
 
 
Figure 1.4: Genetic variants in PD.  
grouped  based  on  allelic  frequency  and  penetrance.  Autosomal  dominant  genes  are 
labeled blue, and autosomal recessive genes are labeled in green. Risk loci are labeled 
gray. Adapted from (J. O. Day & Mullin, 2021; Gasser, 2015).  
Parkin, PINK1, and PARK7 
Autosomal recessive mutations have also been linked to the risk of developing 
PD. The significant at-risk genes that have currently been mapped include PRKN 
(Parkin) (Kitada et al., 1998), PINK1 (Valente et al., 2004), and PARK7 (DJ-1) (Bonifati 
et al., 2003). The most common of these is Parkin, which accounts for 8.6% of early-
onset (<50 years) PD; PINK1 accounts for 3.7%, and DJ-1 accounts for 0.4% (Abou‐
Sleiman et al., 2003; Kilarski et al., 2012). Parkin specifically encodes for E3 ubiquitin 
ligases, which are enzymes that are responsible for the degradation of damaged 
25 
 
 
proteins (Shimura et al., 2000; K. Tanaka et al., 2001)). Therefore, mutations in Parkin 
(and PINK1) are thought to be associated with lysosomal degradation dysfunction (Deliz 
et al., 2024). In contrast, mutations in DJ-1 cause deficits in protecting neurons from 
oxidative stress (Kim et al., 2005). Like the major autosomal-dominant mutations, these 
autosomal recessive mutations (Parkin, PINK1, and DJ-1) all exhibit typical signs and 
symptoms of PD. However, despite sharing a similar phenotype, those with DJ-1 
mutations tend to have more non-motor symptoms including depression, psychosis, and 
cognitive deficits when compared to those with Parkin and PINK1 mutations (Kasten et 
al., 2018; Kilarski et al., 2012). 
Various other autosomal dominant and recessive mutations implicated in PD risk 
exist; however, they are outside the scope of this dissertation. Furthermore, it is 
important to note that the field of epigenetics has been, and continues to be, extensively 
studied in PD. Epigenetics involves the chemical modification (e.g., methylation) of 
DNA, resulting in alteration of gene expression. Despite the importance of epigenetics in 
PD, scientists have yet to conduct an epigenome-wide association study (EWAS) for PD 
(Lill, 2016). 
Environmental Risk Factors 
In addition to genetic risk factors of PD, several environmental toxicants have 
been identified as key risk factors for PD. In 2023, Paul and colleagues conducted a 
pesticide-wide association study (PWAS). From this study, 39 common pesticides were 
found to be associated with PD risk, the majority of which are known to induce 
dopaminergic cell death (Paul et al., 2023). Some of these chemicals/pesticides 
26 
 
associated with increased PD incidence include paraquat, rotenone, cyanide, dieldrin, 
and manganese (Di Monte et al., 2002; Gorell et al., 1998; Monte, 2003). 
MPTP 
The idea that contact with various pesticides could increase the risk of PD first 
came from the observation of 1-methyl,-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) 
exposure. MPTP, which shares structural similarity to the herbicide paraquat (Ball et al., 
2019; Kanthasamy et al., 2005; Langston et al., 1983), induced “textbook-like” signs of 
advanced PD in a small group of drug addicts in 1983 (Ball et al., 2019; Kanthasamy et 
al., 2005; Langston, 1998; Langston et al., 1983). The “textbook-like” symptoms of PD 
became understandable upon the discovery that MPTP exposure was determined to 
induce mitochondrial toxicity in dopaminergic neurons of the SNpc (Chaturvedi & Flint 
Beal, 2013). This discovery catalyzed additional investigations into other 
chemicals/pesticides to determine whether their exposures could also be associated 
with increased incidence of idiopathic PD. 
Paraquat 
Moving forward from MPTP, scientists began investigating paraquat, again 
because of its structural similarity to MPTP. Paraquat exposure in individuals has been 
reported to induce DA neuron cell death, α-synuclein aggregation, and 
neuroinflammation (Pouchieu et al., 2018; Purisai et al., 2007; Richardson et al., 2007). 
Likewise, in a rodent model, paraquat administration killed off DA neurons in the SNpc 
in a dose- and age-dependent manner (McCormack et al., 2002). Consequently, 
paraquat has been definitively linked to increasing the risk for PD (Kitazawa et al., 
27 
 
2003). Indeed, in the Agricultural Health study of 110 PD patients, a positive association 
was discovered between risk of PD and exposure of paraquat (Tanner et al., 2011).  
Rotenone 
Another at-risk pesticide for PD development is rotenone, a major 
organophosphate pesticide frequently used in the control of fish populations (Betarbet et 
al., 2000; Tanner et al., 2011). Mechanistically, rotenone, similar to MPTP, is 
characterized as a selective inhibitor of the mitochondrial complex I; it is also well-
known to promote and accelerate the aggregation of α-synuclein (Silva et al., 2013; 
Yuan et al., 2015). PD cases have been linked to chronic rotenone exposure in 
epidemiological studies (Dhillon et al., 2008; Tanner et al., 2011). Particularly, in a 
French AGRICAN study, an increased risk of PD was reported in farmers who were 
exposed to rotenone (Pouchieu et al., 2018). 
Dieldrin 
PD has also been known to be caused by an organochlorine pesticide referred to 
as dieldrin. In the 1970s, Dieldrin was widely used as an insecticide; however, in 1974, 
the United States Environmental Protection Agency (US EPA) banned its use due to its 
propensity for bioaccumulation and its potential carcinogenic effects (Kanthasamy et al., 
2005). Several animal models have demonstrated the detrimental effect of dieldrin on 
the dopaminergic system (Kanthasamy et al., 2005). For example, rodent models have 
confirmed the targeting of dieldrin to the DA system in a dose-dependent manner 
(Hatcher et al., 2007; Richardson et al., 2006). Also, in ring doves, significant depletion 
of DA levels (58.6%) in the brain was reported in response to low-dose dieldrin 
exposure (Heinz et al., 1980). Most importantly, in postmortem human PD brain tissue, 
28 
 
dieldrin exposure was found to induce cell death in the SNpc (Corrigan et al., 1998; 
Miller et al., 1999). 
Other Risk Factors and Comorbidities 
Over the past decades, TBI has emerged as a possible risk factor for developing 
PD. TBI is known to cause breakdown of the blood-brain-barrier (BBB), as well as 
chronic inflammation, mitochondrial dysfunction, and α-synuclein accumulation (Marras 
et al., 2014). This has been confirmed in rodent models of TBI in which the animals 
developed α-synuclein aggregation and DA cell loss in the SNpc (Acosta et al., 2015). 
Behaviorally, rodents with TBI exhibited PD-like behavior at six months after injury (Sha 
et al., 2025). Moreover, individuals with a history of head trauma were at a higher risk of 
developing PD (Jafari et al., 2013). It must be considered, however, that there is an 
overall 50% increase in falls/head injuries approximately three months prior to a PD 
diagnosis; therefore, a correlation/causation of TBI and PD cannot yet be 100% 
corroborated. Indeed, one study found that there was no association between a TBI 
experienced 10 or more years prior to a PD diagnosis (Kenborg et al., 2015).  
Metabolic syndromes (e.g., diabetes) have recently elicited increased interest as 
a possible risk factor and/or comorbidity of PD (Chohan et al., 2021; Cullinane et al., 
2023; Leibson et al., 2006). It has been postulated that these metabolic syndromes 
have similar cellular mechanisms, such as mitochondrial dysfunction, to that of PD. A 
significant increase in the risk of developing PD has been documented in individuals 
with type 2 diabetes in reports from Finland (Hu et al., 2007), Denmark (Schernhammer 
et al., 2011), Taiwan (Sun et al., 2012), the Physician health study (Driver et al., 2008), 
and NIH-AARP (Q. Xu et al., 2011). Correlations between type 2 diabetes and an 
29 
 
increased severity of motor and non-motor symptoms at the time of PD onset has also 
been noted (Athauda et al., 2022). In contrast, however, this phenomenon was not seen 
in two large US cohort studies (Palacios et al., 2011; Simon et al., 2007). Despite these 
findings, pharmaceuticals that treat diabetes have been found to induce neuroprotective 
effects in PD models (Santiago et al., 2017). Further research in these areas (e.g., TBI, 
diabetes) is warranted in order to confirm a relationship with PD risk as well as its 
underlying mechanisms.  
In addition to an extensive list of risk factors that increase the incidence of PD, 
there have been studies that have also revealed possible protective factors that may 
lower PD risk. Some of these include smoking, caffeine consumption, ibuprofen use, 
and physical activity (Ascherio & Schwarzschild, 2016; Noyce et al., 2012). While these 
analyses may seem promising, some of these factors could be contentious (e.g., 
smoking), and thus require further research to definitively determine whether these 
habits truly lower the risk of PD. Exercise, as a beneficial example, has been 
epidemiologically associated with a reduced risk of PD (H. Chen et al., 2005; Thacker et 
al., 2008), and therefore, may be an up-and-coming, widely-prescribed therapeutic 
approach to treat PD. Additional therapeutic strategies will be discussed in the next 
section.  
30 
 
 
 
THERAPEUTIC STRATEGIES FOR PD 
Pharmacotherapy 
The current pharmacological treatments for PD include DA replacement 
therapies (DRTs) and advanced surgical therapies such as deep brain stimulation (DBS) 
in the event that DRT becomes difficult to manage due to fluctuating responses. While 
DRTs are mostly successful in treating the motor symptoms of PD, they unfortunately do 
little to treat the non-motor symptoms. Moreover, no interventions currently exist that 
can prevent, delay, or reverse disease progression (i.e., disease-modifying therapies) 
(Fahn, 2003; Fox et al., 2018; Noyce et al., 2016; Poortvliet et al., 2020). Because gaps 
in our understanding of the underlying cause of PD remain, it is difficult to create 
treatments that will modify the pathology of PD (Lang & Espay, 2018). Nevertheless, in 
addition to optimizing currently available symptomatic treatments, researchers 
continuously endeavor to discover therapies directed at disease modification; several 
pathways are being investigated as potential treatment targets. This section will explore 
the first-line DRTs, advanced therapies, and experimental (potentially disease-
modifying) treatments currently available for PD.  
Levodopa (L-DOPA) was first isolated in 1910 by Torquato Torquati, but it was not 
until 1957 that its connection to DA and PD were discovered (A. Carlsson et al., 1957; 
Hornykiewicz, 2010). In 1957, Arvid Carlsson, a Swedish pharmacologist, remarkably 
demonstrated that levodopa diminished parkinsonian symptoms in reserpine-treated 
mice and rabbits. Reserpine, an alkaloid that blocks monoamine transport (A. Carlsson 
et al., 1957), induces a tranquilizing, parkinsonian-like state, and therefore was a useful 
model at the time for these studies (A. Carlsson et al., 1957). Within 15-30 minutes of 
31 
 
 
levodopa administration to the reserpine-treated animals, mice and rabbits returned to 
almost-normal behavior, ameliorating their parkinsonian state. However, the effect of 
levodopa only lasted for an hour, and animals returned back to their reserpine-induced 
parkinsonian-like state (A. Carlsson et al., 1957). Despite dose/timing caveats, these 
preliminary experiments demonstrated considerable potential for the use of levodopa in 
the treatment of PD.  
A year later, Carlsson’s research group determined that DA content in the brain 
increased upon levodopa administration, initiating their postulations of DA being 
implicated in motor disorders (e.g., PD). Then, in 1960, Ehringer and Hornykiewicz 
reported that patients with PD exhibited caudate and putaminal DA depletion (Ehringer 
& Hornykiewicz, 1960; Fahn, 2008). Following up on this observation, Hornykiewicz and 
Birkmayer intravenously administered levodopa to patients with PD, notably 
demonstrating distinct alleviation of their motor symptoms (Birkmayer & Hornykiewicz, 
1961; Fahn, 2015). However, levodopa-infused patients developed distressing 
gastrointestinal-upset in response to the high doses of levodopa. To remedy this 
problem, Cotzias and colleagues decided to slowly increase the dose overtime, 
successfully avoiding gastrointestinal side effects (Cotzias et al., 1967). 
Today, almost 65 years later, levodopa remains the most effective 
pharmacological intervention for PD (Cotzias et al., 1967; Poewe et al., 2010; Stoker & 
Barker, 2020). Compared to other DRTs (discussed below), levodopa demonstrates 
superior motor improvement when assessed by reductions in the United Parkinson’s 
Disease Rating Scale (UPDRS) scores (Poewe et al., 2010). Importantly, levodopa is 
also better tolerated than DA agonists, especially in elderly patients (>60 years of age) 
32 
 
(Nutt & Wooten, 2005; Poewe et al., 2010). Mechanistically, in the presence of a 
peripheral decarboxylase inhibitor, levodopa crosses the BBB and is converted to DA by 
aromatic L-amino acid decarboxylase (AADC), an enzyme found in catecholaminergic 
neurons. Following its release into the synapse, DA will then be metabolized by 
catechol-O-methyltransferase (COMT) or monoamine oxidase (MAO) (Figure 1.5a) 
(National Institute of Diabetes and Digestive and Kidney Diseases, 2012a). Because of 
its short half-life (≤ 90 minutes) (Poewe et al., 2010) and its mechanism of action, 
levodopa is given in conjunction with carbidopa (an L-amino acid decarboxylase 
inhibitor) to prevent is metabolism in the periphery; COMT and MAO inhibitors can also 
be given alongside levodopa to prolong its half-life in the body (Fahn, 2003).  
The success of levodopa can be limited by side effects than can manifest 
following chronic levodopa administration and continued progression of PD. Like other 
DRTs, some side effects of levodopa therapy can include nausea, hallucinations, 
confusion, postural hypotension, constipation, depression, and sleep disturbances 
(Bastide et al., 2015; National Institute of Diabetes and Digestive and Kidney Diseases, 
2012a). The most bothersome and detrimental side effect, however, is the development 
of levodopa-induced dyskinesia (LID) (Poewe et al., 2010) (see Long-term side effects 
of Chronic Levodopa Therapy). 
Often less tolerated and less effective than levodopa therapy (Stoker & Barker, 
2020) are DA agonists, DA metabolism inhibitors (i.e., monoamine oxidase inhibitors; 
MAOIs), anticholinergics, adenosine antagonists, and β-blockers, all of which are 
available as additional medications used to treat the motor symptoms of PD (Figure 
1.5b). Even though levodopa is considered the gold standard, sometimes other DRTs 
33 
 
will be prescribed first, frequently in younger patients (<60 years old), to avoid/delay the 
side effect of LIDs (Connolly & Lang, 2014). Apomorphine is an example of a DA 
agonist currently available on the market. Agonists specific to the D2 receptor include 
ropinirole, pramipexole, and rotigotine (National Institute of Diabetes and Digestive and 
Kidney Diseases, 2012b). COMT inhibitors have also been developed to block the 
breakdown of DA by catechol-O-methyltransferase (COMT). COMTs, as well as MAOIs, 
can be used in conjunction with DA agonists or levodopa to help manage PD symptoms 
(National Institute of Diabetes and Digestive and Kidney Diseases, 2012b). 
Nevertheless, compared to levodopa, DA agonists and MAOIs/COMTs are more likely to 
induce side effects such as hallucinations, psychosis, compulsive behaviors, sleep 
disturbances, nausea, and confusion, especially in elderly patients (Armstrong & Okun, 
2020; Bloem et al., 2021; Fahn, 2003), and therefore, levodopa is often preferred 
regardless of the risk of LID development. 
34 
 
 
 
Figure 1.5: Sites of Action for Common Pharmacotherapies to treat PD.  
Schematic diagram depicting the sites of action for various PD medications used to treat 
the  motor  symptoms  of  PD.  (a)  Levodopa  is  converted  to  dopamine  (DA)  by  aromatic 
amino acid decarboxylase (AADC) both in the circulatory system and in the brain. Dopa  
35 
 
 
Figure 1.5 (cont’d) 
decarboxylase  inhibitors  (DDCIs)  are  used  to  prevent  levodopa’s  conversion  in  the 
periphery,  allowing  higher  concentrations  of  levodopa  across  the  blood  brain  barrier 
(BBB). In the striatum, nigrostriatal dopaminergic afferents, corticostriatal glutamatergic 
afferents, and cholinergic interneurons converge to regulate the activity of medium spiny 
GABAergic neurons  (MSNs).  Once  levodopa  is converted  into  DA  here  in  the  striatum 
inside DA terminals, replacing the neurotransmitter deficit in PD, DA will bind and activate 
DA receptors (D1 and D2) on the resident striatal MSNs, permitting motor movement. (b) 
Likewise,  DA  agonists  and  MAOIs  also  restore  motor  function  as  they  activate  DA 
receptors  and  prevent  DA  degradation,  respectively.  Other  therapeutics  such  as 
amantadine (pink) inhibit the activity of N-methyl-D-aspartate (NMDA) receptors to treat 
dyskinesias. Anticholinergics are another pharmacologic; they are used to treat tremors 
by  blocking  nicotinic  acetylcholine  receptors  (blue).  Figure  has  been  adapted  from 
(Connolly  &  Lang,  2014).  Abbreviations:  3-OMD  =  3-O-methyldopa;  DDCIs  =  dopa 
decarboxylase  inhibitors;  AADC  =  aromatic  amino  acid  decarboxylase;  COMTs  = 
catechol-O-methyltransferase inhibitors; DA = dopamine; MAOIs = monoamine oxidase 
inhibitors; LAT1 = L-type amino acid transporter 1 
Long-term Side Effects of Chronic Levodopa Therapy 
LIDs are characterized as abnormal involuntary movements in response to 
chronic levodopa therapy (Poewe et al., 2010). These abnormal movements tend to 
affect the neck, upper limbs, and torso, triggering chorea, ballism, dystonia, and 
myoclonus (Kwon et al., 2022; Vijayakumar & Jankovic, 2016), all of which can cause 
substantial discomfort in individuals with PD (Hung et al., 2010; Khlebtovsky et al., 
2012; Prashanth et al., 2011). Estimates of the incidence of LID vary by source but 
relatively reflect that approximately 50% of patients will develop LID during the first 3-5 
years of levodopa treatment (Blanchet et al., 1996; Manson et al., 2012). By 10-15 
years of treatment, 50-94% of patients exhibit LID (Ahlskog & Muenter, 2001; Fahn, 
2003; Hely et al., 2005; Stoker & Barker, 2020). Moreover, in a large retrospective study 
referred to as the ELLDOPA study (Earlier vs. Later Levodopa therapy in PD), patients 
exhibited variable motor improvement ranging from 100% improvement to 242% 
worsening of symptoms (Hauser et al., 2009).  
36 
 
Figure 1.6: Types of Levodopa-induced dyskinesia (LID) and time course.  
After  a  single  dose  of  levodopa,  the  supratherapeutic  window  is  reached  and  is 
characterized by peak-dose dyskinesias. Following, the therapeutic window is considered 
the  ON-state  when  optimal  clinical  benefit  is  reached  with  no  dyskinetic  behavior. 
Diphasic (or biphasic) dyskinesias will appear in the transitional window, during the rise 
and  fall  of  levodopa  levels  in  the  plasma.  In  the  OFF-state,  subtherapeutic  window, 
parkinsonian symptoms are prevalent again as the effects of levodopa are lost. Adapted 
from  (di  Biase  et  al.,  2023).  Abbreviations:  [levodopa]  =  plasma  concentration  of 
levodopa.  
The two most common forms of dyskinesia include peak-dose dyskinesia and 
diphasic dyskinesia (Figure 1.6). Peak-dose dyskinesia is the most prominent with 75-
80% of patients experiencing this type of dyskinesia (Zesiewicz et al., 2007). Peak-dose 
dyskinesia occurs when plasma levels of levodopa are at their highest. Choreiform 
movements dominate in this form, but other movements including dystonia, myoclonus, 
37 
 
 
and ballism in the orofacial muscles also occur (Vijayakumar & Jankovic, 2016). In 
contrast to peak-dose dyskinesia, diphasic dyskinesia appears when plasma 
concentrations of levodopa are rising and falling (Zesiewicz et al., 2007). Specifically, 
diphasic dyskinesias manifest when levodopa is first given and when levodopa begins 
to wear off. Dystonic or ballistic movements most often characterize this form (Rascol et 
al., 2001). 
While the underlying mechanisms of LID are unclear, current research suggests 
that LIDs manifest due to the non-physiological DA release and activation of striatal DA 
receptors induced by pharmacological administration of levodopa. To attempt to 
diminish LID behavior, pharmacologists are investigating various other formulations of 
levodopa to improve its delivery and its half-life (Poewe et al., 2010). Although LIDs can 
significantly impact quality of life, it is often said that individuals generally prefer their 
dyskinetic movements compared to limited movement with PD motor symptoms 
(Khlebtovsky et al., 2012), however, see (Cenci et al., 2020).  
Several underlying mechanisms of LID have been postulated, one of which being 
the serotonin theory. Briefly, serotonin (5-HT) neurons have the ability to take up and 
convert exogenous levodopa into DA, but they lack the machinery to reuptake released 
DA and provide autoreceptor-mediated feedback to the neuron (Figure 1.7). Therefore, 
it is theorized that 5-HT neurons can cause excessive, non-physiological stimulation of 
the striatal DA receptors, thus resulting in LID (Bezard, 2013; Sellnow et al., 2019). 
Studies in favor of this theory have utilized 5-HT agonists to reduce LID in animal 
models (Bezard et al., 2013; Meadows et al., 2018; Stoker & Barker, 2020; Yamada et 
al., 2007) or genetically expression DAT into 5-HT terminals (Sellnow et al., 2019). 
38 
 
Specifically, eltoprazine, a 5-HT agonist, has been demonstrated to be successful in 
preventing LID in a parkinsonian rat model and in non-human primates (Fabbrini & 
Guerra, 2021). These promising results catalyzed a phase I/IIa study in which 
eltoprazine was administered to patients with PD; eltoprazine was successful in  
Figure 1.7: Unregulated Release of DA from a 5-HT Terminal.  
A simplified schematic illustration of the serotonin theory behind LID behavior. Serotonin 
neurons  contain  the  same  enzymes  as  DA  neurons  to  convert  levodopa  to  DA.  Once 
converted, the DA displaces serotonin from their storage vesicles, permitting release of 
DA into the synaptic cleft. However, serotonin neurons do not express DA transporters 
such as DAT for proper  DA reuptake, leading to unregulated DA release and subsequent 
excessive stimulation of DA receptors. Adapted from (Kwon et al., 2022). Abbreviations: 
5-HT = serotonin; AADC = aromatic amino acid decarboxylase; DA = dopamine; DAT = 
dopamine transporter; VMAT2 = vesicular monoamine transporter 2. 
39 
 
 
decreasing LID behavior, although a reduction of levodopa efficacy was also reported, 
contradicting its clinical utility (Bezard, 2013). Ultimately, manipulation of serotonergic 
neurons will only be used if it becomes more efficacious than other drugs such as 
amantadine, which, to-date, is considered the best drug to treat LID (Kwon et al., 2022). 
Amantadine and clozapine (off-label) are currently the only two pharmaceuticals 
known to be efficacious in the treatment of LID (Fox et al., 2018), with the extended-
release amantadine formulation being the only Food and Drug Administration (FDA)-
approved to treat dyskinesias, and marginally most effective, drug (P. Jenner, 2008; 
Konitsiotis et al., 2000; Vijayakumar & Jankovic, 2016). Amantadine, an N-methyl-D-
aspartic acid (NMDA) receptor antagonist, has been shown to stimulate DA release and 
block DA uptake in addition to blocking NMDA receptors. Its administration in a double-
blind, placebo-controlled trial reduced total LID scores by 24% in individuals with low 
level LID without any change to levodopa efficacy (Snow et al., 2000). Unfortunately, 
amantadine is also contraindicated in approximately 25% of patients due to significant 
side effects (see (Hauser et al., 2017)). Because of the mechanism of action of 
amantadine, glutamatergic overactivity has been hypothesized as a mechanism 
responsible for dyskinesia development (Kwon et al., 2022). Similar to other 
pharmaceuticals, amantadine (and clozapine) are not universally effective for all 
patients (Alvir et al., 1993; Postma & Van Tilburg, 1975) and may result in side effect 
development such as ankle edema, hallucinations, and confusion in some patients 
(Fahn, 2003). Fortunately, clinical trials are planned or ongoing to investigate novel 
drugs and treatments to reduce LID behavior (Huot et al., 2022). 
40 
 
Advanced Therapies 
When side effects of pharmacological DRT (e.g., severe LIDs) become 
unmanageable, or when patients have refractory symptoms like dominant tremor, more 
advanced options such as deep brain stimulation (DBS) can be considered. It is 
important to note that DBS, however, is not expected to alleviate levodopa-refractory 
symptoms (e.g., gait freezing) other than tremor. DBS is an invasive procedure that 
involves stereotaxic brain surgery to implant electrodes into the STN and GPi (Follett et 
al., 2010; Grabli et al., 2013; S. K. Kalia et al., 2013; Okun, 2014). The electrodes are 
then connected to a pulse generator placed in the chest (Espay et al., 2018; Fasano et 
al., 2012). The STN and GPi have been approved by the FDA as regional targets for 
DBS, but targeting the GPi has been demonstrated to be superior in reducing LIDs 
compared to the STN (Mansouri et al., 2018). The thalamus is also a brain region that 
has been approved, specifically for tremor-dominant symptoms; however, the thalamus 
is a rarely used DBS target in PD (Bloem 2021). In prospective studies, DBS 
significantly reduced LID behavior, and decreased the patients’ need for medication by 
50-60% (Kleiner‐Fisman et al., 2004). While the mechanism responsible is not well 
understood, it is thought that high frequency stimulation of targeted brain regions (i.e., 
STN and GPi) improve motor function by “normalizing” patterns of neuronal firing (Aum 
& Tierney, 2018; Lozano et al., 2019; Merola et al., 2015).  
To be an eligible candidate to receive DBS, an individual with PD must have a 
good response to levodopa but exhibit severe LIDs and/or medication-resistant tremor, 
or have become refractory to DRT (K. A. Smith et al., 2016). Moreover, several risks of 
DBS exist. Not only are there risks with the surgical procedure itself (e.g., infection, 
41 
 
hemorrhage), or the hardware (e.g., device failure (K. A. Smith et al., 2016; Worth, 
2013), side effects such as cognitive dysfunction and adverse speech development can 
occur (Stoker & Barker, 2020). Also, gait and postural instability symptoms often 
respond poorly (Grabli et al., 2013). DBS is also extremely costly, and patients require 
frequent stimulation adjustments following the procedure (Fahn, 2003). Due to the 
significant side effects and limitations of DBS, clinicians and patients must carefully 
consider DBS as a therapeutic strategy for the parkinsonian symptoms.  
Other advanced treatments are being investigated and implemented as possible 
therapeutic strategies for PD; however, they will not be discussed in-depth here. An 
example of one of these treatments includes the infusion of a levodopa-carbidopa 
intestinal gel which has been FDA approved for almost a decade (Dijk et al., 2020; 
Olanow et al., 2020; Worth, 2013). The goal of the levodopa-carbidopa gel is to achieve 
continuous infusion and reliable absorption of levodopa in order to keep levodopa at 
sufficient levels in the plasma. This procedure, like DBS, is also invasive as it requires 
the patient to undergo an endoscopy to place a gastrostomy tube in the jejunum of the 
large intestine (Espay et al., 2018). As with all other treatment, the benefits and 
drawbacks of advanced therapies must be extensively reviewed by both doctor and 
patient so that the best approach is chosen (Dijk et al., 2020). 
Experimental Disease-Modifying Therapies 
The ultimate goal of treatment development for PD is to generate disease-
modifying therapies that can prevent, delay, or reverse disease progression (Fahn, 
2003; Fox et al., 2018; Noyce et al., 2016; Poortvliet et al., 2020). As was mentioned 
previously, no interventions of this nature currently exist; however, scientists are 
42 
 
continuing to make progress in this area. For instance, gene therapy is a promising 
experimental, potentially disease-modifying, therapy that is being investigated.  
Gene therapy  
Currently, gene therapy has been designed to introduce genes of DA synthesis 
enzymes so that DA can be replenished in the STR of patients with PD (Schuepbach et 
al., 2013). Specifically, the research group of Muramatsu and colleagues (Muramatsu et 
al., 2010) and Christine and colleagues (Christine et al., 2009) utilized gene therapy to 
introduce an adeno-associated virus (AAV) that expressed aromatic amino 
decarboxylase (AADC) into the putamen of PD patients, and patients’ UPDRS scores 
were greatly improved (Christine et al., 2009; Muramatsu et al., 2010). Another example 
is found with lentivirus vector therapy: genes expressing both TH and AADC were 
administered in an open-label phase I clinical trial to patients with PD (OXB-101, (Palfi 
et al., 2014; Stoker & Barker, 2020). Twelve months following treatment, patients 
reported improved UPDRS scores, but not enough to be competitive with other 
treatments. 
A novel gene therapy that has substantial promise to be disease-modifying is 
presented in the studies conducted by Steece-Collier and colleagues (Figure 1.8ab) 
(Caulfield et al., 2025; Caulfield, Vander Werp, et al., 2023; Steece‐Collier et al., 2019). 
Adeno-associated (AAV)-mediated short-hairpin RNA was administered to parkinsonian 
rats to silence striatal voltage-gated, L-type CaV1.3 calcium channels. Delivery of 
CaV1.3 AAV completely prevented LID development, but also strikingly reversed severe 
LID in parkinsonian rats (Figure 1.8c) (Steece‐Collier et al., 2019). Because 
dysregulation of CaV1.3 channels can induce dendritic spine retraction of MSNs (M. Day 
43 
 
et al., 2006; Steece‐Collier et al., 2019), it was theorized that blocking these channels 
could prevent spine retraction, potentially preventing/modifying DA pathophysiology in 
PD. Although promising, there are limitations to gene therapy. Gene therapy is generally 
irreversible, and it can also be difficult to determine/regulate the quantity of gene that is 
delivered (Elkouzi et al., 2019). 
44 
 
a) 
b) 
c) 
Figure 1.8: Silencing of CaV1.3 Channels as a Promising Disease-Modifying Gene 
Therapy for PD.  
Schematic  illustration depicting  (a)  striatal  intraspinous  CaV1.3  channels regulating  the 
influx of Ca2+ into the dendritic spines of MSNs. CaV1.3 channels are normally regulated 
by  D1  and  D2  receptors  (shown  in  yellow)  under  homeostasis.  (b)  However,  when 
degeneration of DA neurons from the SNpc occur in PD, the regulation/inhibition of  
45 
 
 
Figure 1.8 (cont’d) 
CaV1.3  channels through  DA  receptors is diminished,  permitting  an  increased  influx  of 
Ca2+.  This  causes  spine  retraction  and  loss  of  corticostriatal  glutamatergic  inputs.  (c) 
Recent  findings have demonstrated that  inhibition  and/or silencing  of  CaV1.3  channels 
using  an  rAAV-  CaV1.3-shRNA  allow  for  the  maintenance  of  normal  spine  density  on 
MSNs despite severe loss of DAergic neurons, thereby preventing the induction of LID 
(see  Steece-Collier  et  al.,  2019).  Figure  adapted  from  (Caulfield,  Manfredsson,  et  al., 
2023). Abbreviations:  MSN  =  medium  spiny  neurons;  Ca2+  =  calcium  ions;  CaV1.3  = 
voltage-gated L-type calcium channels; DA = dopamine; AAV = adeno-associated virus; 
shRNA = short hairpin ribonucleic acid. For more details on these findings, see (Caulfield 
et al., 2025; Caulfield, Vander Werp, et al., 2023). 
Targeting α-synuclein pathology 
Along with targeting DA degeneration, other potentially disease-modifying 
experimental therapies also target α-synuclein pathology. Gene therapy has also been 
utilized for this: gene-silencing mechanisms that target messenger RNA of α-synuclein 
has been attempted to reduce the synthesis of α-synuclein (Fields et al., 2019; Savitt & 
Jankovic, 2019). Immune therapy is also of interest. Specifically, in Phase I clinical trials, 
a humanized monoclonal antibody that targets aggregated α-synuclein (prasinezumab) 
resulted in a 97% reduction in free serum α-synuclein (Jankovic et al., 2018; Schenk et 
al., 2017). Because of the success of the Phase I clinical trial, a Phase II clinical trial is 
now ongoing (NCT03100149).  
Interestingly, several drugs on the market are being repurposed because of their 
ability to reduce α-synuclein pathology. The glucagon-like peptide 1 (GLP-1) analogue, 
exenatide, is a fitting example. GLP-1 has historically been used to treat type-2 
diabetes; however, individuals with PD have exhibited improved cognitive and motor 
function following GLP-1 treatment (Stoker & Barker, 2020). Cell and animal models of 
nigral degeneration have also demonstrated a neuroprotective effect in response to 
GLP-1 administration (Bertilsson et al., 2008; Harkavyi et al., 2008; Y. Li et al., 2009). 
Another drug, terazosin, which is an α1-adrenergic antagonist usually used to treat 
46 
 
benign prostatic hypertrophy, has shown a reduction in α-synuclein in transgenic mice 
and in neurons from patients with LRRK2 mutations (Cai et al., 2019). Despite the 
promise of these studies, the entirety of physiological functions of α-synuclein remains 
to be determined, and thus, it is therefore important to keep in mind that there may be 
negative consequences of decreasing endogenous α-synuclein too much (Collier et al., 
2016; Elkouzi et al., 2019; Gorbatyuk et al., 2010; Stoker & Barker, 2020).  
As discussed previously, it is well established that, by the time classic motor 
symptoms manifest in PD patients, a significant loss of SNpc DA neurons has already 
occurred (Fearnley & Lees, 1991; Noyce et al., 2016). Therefore, although DRTs (i.e., 
levodopa) and other therapies are successful at treating motor symptoms, there has yet 
to be developed a therapy that can prevent or reverse the pathology of PD. Pathways 
that have been experimentally implicated in PD (e.g., lysosomal and mitochondrial 
dysfunction, neuroinflammation) are currently being investigated as possible drug 
targets, with the goal of treating PD prior to motor symptom development (Jankovic, 
2008; K. S. P. M. P. Jenner & Olanow, 2007; Pan et al., 2008). A promising experimental 
therapy aimed at re-establishing the nigrostriatal DA system that remains of worldwide 
interest is cell transplantation therapy. Understanding factors that impact the benefits 
and limitations of cell transplantation is the major focus of my dissertation research. 
47 
 
 
 
Regenerative Cell Transplantation Therapy 
Brief History of Cell Transplantation  
The concept of neural transplantation into the adult mammalian brain has been of 
interest for almost four centuries, but it was not until 1890 that the first experimental 
attempt at transplantation was successfully conducted. W. Gilman Thompson, an 
American physician, was the first to attempt transplantation. Briefly, in one of his 
studies, cortical tissue from the occipital lobe of dogs was excised and subsequently 
transplanted into the occipital lobe of recipient dogs or cats. Remarkably, when 
examined histologically after seven weeks, there seemed to be survival of the donor 
tissue, with a mix of healthy and degenerating cells (Dunnett, 2009; Thompson, 1890a, 
1890b). While this seemed to be a promising finding, the methods of the time were 
limited. Therefore, it was more likely that the transplanted tissue had died and left scar 
tissue or host-derived immune cells in its place (Bjorklund & Stenevi, 1985; Dunnett, 
2009). Despite how profound these findings were at the time, Thompson’s studies 
unfortunately elicited little immediate follow-up experimentation.  
Almost twenty years later, in 1907, another attempt was made to demonstrate 
that grafting into the adult mammalian brain was indeed possible. This was performed 
by Del Conte who grafted non-neuronal embryonic tissue into the cerebral cortex of 
adult dogs. Similar to Thompson’s work, Del Conte demonstrated partial tissue survival; 
however, he believed survival to be only temporary (Bjorklund & Stenevi, 1985; Del 
Conte, 1907). Following these experiments, several grafting studies involving peripheral 
nerve transplantation or other non-central nervous system (CNS) tissue transplant 
studies were conducted spanning across the next decade.  
48 
 
Finally, in 1917, Elizabeth Dunn successfully demonstrated that cortical tissue 
transplanted between neonatal rat pups could survive, albeit with a poor survival rate at 
less than 10% (Bjorklund & Stenevi, 1985; Dunn, 1917). Despite a minute survival rate, 
Dunn was credited with the first successful evidence that CNS tissue could survive, at 
least to some extent, in the brain (Dunnett, 2009). With these findings, Wilfrid Le Gros 
Clark went on to provide evidence of survival of embryonic cortical tissue into the 
neonatal brain of immature six-week-old rabbits. He discovered that these cells could 
not only survive but also differentiate into mature neurons in the host neocortex (W. E. 
L. G. Clark, 1940; Dunnett, 2009).  
Throughout the next few decades, the scientific community still remained 
skeptical of the ability of transplanted neurons to fully integrate and differentiate into the 
adult mammalian brain. Then, in the early 70s, Gopal Das and Joseph Altman launched 
what is now considered the “modern era” of neural transplantation (Bjorklund 1999, 
Dunnet 2009). In their research, they injected [3H] thymidine into the cerebellar cortex of 
neonatal rat pups to label still-proliferating cells. Their results demonstrated that the 
labeled cells successfully survived, migrated, and differentiated into proper neuronal 
phenotypes when engrafted into the host cerebella (Das & Altman, 1971; Dunnett, 
2009). Following Das’ and Altman’s work, additional research teams endeavored to 
further study the intricacies of cell transplantation. Using new anatomical techniques for 
the time, groups including Olson and Seiger (Dunnett, 2009; Olson & Seiger, 1972) and 
a Swedish group at the University of Lund led by Anders Bjorklund (Björklund & Stenevi, 
1971; Stenevi et al., 1976) collected evidence that allowed scientists to determine 
optimal development ages for survival, differentiation, and growth of grafted tissue in the 
49 
 
host brain. A comprehensive exploration of the full history of cell transplantation can be 
found in (Bjorklund & Stenevi, 1985; Dunnett, 2009).  
Preclinical and Early Clinical Trials of Cell Transplantation in PD 
In 1979, two independent groups published promising evidence of the functional 
benefit of SN grafts specifically in a parkinsonian rat model (Bjorklund & Stenevi, 1979; 
Perlow et al., 1979). Following unilateral lesions of the nigrostriatal DA pathway (6-
hydroxydopamine (6-OHDA) injections), Bjorklund and colleagues transplanted 
embryonic ventral mesencephalic (eVM) tissue containing the developing SN DA 
neurons into a cerebral cortical cavity overlying the STR (Bjorklund & Stenevi, 1979). 
Simultaneously, Perlow and colleagues dispersed eVM tissue into the lateral ventricles 
(Perlow et al., 1979). In both cases, these grafts, which contained the developing DA 
neurons, reduced rotational asymmetry compared to non-grafted lesioned rats, 
suggesting a restoration of motor deficit. While nigrostriatal synaptic connectivity was 
seemingly restored in the study conducted by Bjorklund and colleagues, results from 
Perlow and colleagues indicated that diffusion of DA from the ventricle was the reason 
for behavioral improvement, not successful graft-host connectivity (Björklund & Lindvall, 
2017b).  
Soon after these two experiments, a transplantation technique of stereotaxically 
inserting eVM neurons directly into the STR (Bjorklund et al., 1980; Björklund et al., 
1983; R. H. Schmidt et al., 1981) was developed and proven to achieve widespread 
reinnervation. Numerous preclinical studies have since been conducted in order to 
optimize functional outcomes, addressing issues related to experimental protocols of 
cell transplantation including cell preparation and source, graft delivery method, 
50 
 
immunological responses, and cell storage (Dunnett, 2009; Freeman & Widner, 1998). 
Although other various cell sources and transplant locations have been studied, the 
most promising approach to-date has been transplanting eVM DA neurons directly into 
the STR (Steece-Collier & Collier, 2016). Due to promising evidence of preclinical trials, 
interest in clinical application of cell transplantation in PD increased rapidly.  
The first clinical trials of neural transplantation in individuals with PD occurred in 
1982 and 1983, respectively. Two patients received implantations of their own adrenal 
medulla cells, which secrete catecholamines including DA, into the caudate nucleus. 
However, only transient improvement of motor function occurred (Backlund et al., 1985; 
Björklund & Lindvall, 2017a; Lindvall et al., 1987). In another clinical trial conducted by a 
group in Mexico City, two young patients with PD (35 and 39-years-old) also received 
adrenal medullary autografts to the caudate nucleus. Results from this study 
demonstrated a significant reduction in rigidity, tremor, and akinesia in these patients 10 
months following transplantation (Madrazo et al., 1987). Unfortunately, a larger clinical 
trial involving 61 patients with PD from the US and Canada who were recipients of 
adrenal medullary grafts, could not replicate the results from the Mexico City trial: few 
patients (19%) showed improvement 2 years after surgery, and morbidity/mortality was 
relatively high in a sizable portion of these patients (Goetz et al., 1991).  
51 
 
 
Table 1.1: Current Planned or Ongoing Clinical Trials for Cell Transplantation in PD. 
Abbreviations: iPSCs = induced pluripotent stem cells; PASCs = pluripotent stem cells  
52 
Trial ID Location Cell Source Enrollment Phase Status NCT06687837 Boston, MA, USA Autologous iPSCs 8 Phase I Recruiting NCT06482268 La Jolla, CA, USA Human iPSCs 7 Phase I Recruiting NCT06422208 Boston, MA, USA Autologous iPSC-derived DA neurons 6 Phase I Enrolling my invitation NCT06141317 San Jose, Costa Rica PASCs 40 Phase I/II Active, not recruiting NCT05901818 Beijing, China Autologous induced neural stem cell-derived DA precursor cells 10 Phase I Recruiting NCT05699161 Leon, Nicaragua Adipose-derived stromal vascular fraction cells 10 Phase I/II Completed NCT05691114 Shanghai, China hAESCs 18 Phase I Recruiting NCT05635409 Lund, Sweden (STEM-PD) hESCs 8 Phase I Active, not recruiting NCT05435755 Shanghai, China hAESCs 12 Early Phase I Unknown status NCT05094011 Unknown Adipose-derived mesenchymal stem cells 9 Phase I Not yet recruiting NCT04414813 Shanghai, China hAESCs 3 Early Phase I Completed NCT04146519 Minsk, Belarus Autologous mesenchymal stem cells 50 Phase II/III Unknown status  
 
Table 1.1 (cont’d)  
isolated from adipose tissue; DA = dopamine; hAESCs = human amniotic epithelial stem 
cells;  hESCs  =  human  embryonic  stem  cells;  MSCs  =  mesenchymal  stem  cells;  ISC-
hpNSC = International Stem Cell Corporation human parthenogenetic neural stem cells 
53 
Trial ID Location Cell Source Enrollment Phase Status NCT03119636 Zhengzhou, Henan, China hESCs 50 Phase I/II Unknown status NCT02780895 Mexico City, Mexico hFSCs 8 Phase I Unknown status NCT02611167 Houston, TX, USA Allogenic bone marrow-derived MSCs 20 Phase I Completed NCT01860794 Seongnam-si, Gyeonggi-do, Korea Fetal mesencephalic neuronal precursor cells 15 Phase I/II Unknown status NCT01446614 Guangzhou, Guangdong, China Autologous bone marrow-derived mesenchymal stem cells 20   Phase I/II Unknown status NCT00226460 Tampa, FL, USA (Neurocell-PD) Fetal porcine cells Unknown Phase II Completed NCT02452723 Melbourne, Victoria, Australia ISC-hpNSC 12 Phase I Unknown status NCT01898390 Unknown (TRANSEURO) Allografts of fetal ventral mesencephalic tissue 13 N/a, open label Completed JMA-IIA00384 Kyoto, Japan Allogenic human iPSCs 7 Phase I/II Completed   
 
 
Following these initial clinical trials, scientists began to shift their focus to utilizing 
human embryonic neuronal tissue instead of transplanting adrenal medullary cells. In 
the late 1980s, a group at the University of Lund conducted preclinical transplantation 
trials of human eVM tissue engrafted into immune-suppressed parkinsonian rats 
(Björklund & Lindvall, 2017a; Brundin et al., 1986, 1988; Clarke et al., 1988). These DA 
neurons were shown to successfully survive and reinnervate the STR, providing notable 
functional benefit to parkinsonian animals. Due to these incredible results in a preclinical 
rat model, two patients at Lund finally underwent transplantation of eVM neurons into 
the caudate and putamen in 1989. Remarkably, patients in this open-label trial exhibited 
successful survival of their grafted neurons, and the grafts rescued both spontaneous 
and drug-induced DA release (Björklund & Lindvall, 2017b; Lindvall et al., 1990). After a 
one-year follow-up, patients still exhibited clinical benefit with improved OFF-time motor 
function (Lindvall et al., 1992). Additional clinical trials confirmed these results, 
demonstrating that, collectively, individuals with PD who received primary DA neuron 
transplants can exhibit remarkable functional improvement (Cochen et al., 2003; 
Freeman et al., 1995; Kordower et al., 1998; Lindvall & Hagell, 2000; Mendez et al., 
2002; Peschanski et al., 1994; Piccini et al., 1999).  
These notable findings encouraged the National Institute of Health (NIH) to fund 
two double-blind, placebo-controlled trials of cell transplantation in the mid-1990s in the 
US (Freed et al., 2001; Olanow et al., 2003). Results from these trials, when 
categorized by patient age and disease severity, demonstrated that primary DA neuron 
grafts can survive, function, and restore DA release in the putamen of PD patients 
(Freed et al., 2001; Olanow et al., 2003). Despite promising results, however, there was 
54 
 
an unfortunate occurrence of novel OFF-medication behaviors known as graft-induced 
dyskinesia (GID) in 56.5% of the study participants in (Olanow et al., 2003). These GID 
behaviors developed 6-12 months following the transplantation procedure after 
cessation of immunosuppression. The manifestation of GID in these and other trials 
regrettably summoned a worldwide moratorium on all clinical grafting trials for PD 
(Hagell et al., 2002a). Until the underlying mechanisms, and subsequent prevention, of 
GID can be elucidated and achieved, grafting cannot be considered a fully optimized 
option for PD treatment (see Table 1.1 for currently ongoing/planned clinical trials).  
The Unanticipated Side Effect of Cell Transplantation: Graft-Induced Dyskinesia (GID)  
Graft-induced dyskinesias (GID) are defined as abnormal involuntary OFF-
medication behaviors that develop only in individuals who received primary neural 
transplants (for review (Maries et al., 2006; Steece-Collier et al., 2012)). These GID 
profiles develop as the graft matures and as the typical pre-graft LID behaviors 
disappear (Steece-Collier et al., 2012) both in humans and in animal models (Lane et 
al., 2006; Maries et al., 2006; Soderstrom et al., 2008). Clinically, GIDs tend to manifest 
as more focal stereotypic movements in contrast to that of LID (Freed et al., 2001), 
often localized to either the upper or lower extremities correlating with graft placement 
(Hagell et al., 2002a; Maries et al., 2006; Olanow et al., 2003). Moreover, GIDs bear 
resemblance to diphasic drug-induced dyskinesia (Hagell & Cenci, 2005); however, 
unlike LIDs, GIDs cannot be alleviated by lowering the dose of levodopa. In the clinical 
trials discussed above, GID severity varied from mild for some patients, to severe, in 
which some had to undergo STN DBS to reverse the aberrant effects of their grafts 
(Freed et al., 2001). While several underlying mechanisms of GID have been 
55 
 
postulated, this remains a topic of controversy. These mechanisms include, but are not 
limited to, pre-graft levodopa history, age of recipient, donor cell source, presence of 
non-DA neurons (e.g., serotonergic neurons), uneven DA reinnervation/excess DA 
release, host-immune response, and/or asymmetric synaptic connections between the 
host and donor (for review (Steece-Collier et al., 2012)). Although not to an exhaustive 
level, some notable proposed mechanisms of GID are discussed below.  
Modeling Graft-Induced Dyskinesia  
In preclinical laboratories, rodent models are utilized to experimentally study GID 
behavior. Commonly, parkinsonism will first be induced in rodent models via unilateral, 
intranigral 6-OHDA injections in order to lesion the nigrostriatal pathway. Embryonic VM 
graft tissue will then be transplanted into the parkinsonian striatum. Experimental GID in 
these animals are then induced with either levodopa or amphetamine administration 
(Figure 1.9).  
Following administration of levodopa, grafted rodents will develop focal, 
stereotypic, and repetitive movements similar to what is seen in human subjects (Hagell 
& Cenci, 2005; Maries et al., 2006; Soderstrom et al., 2008). Affected bodily regions are 
also comparable to GID expression, specifically in individuals from the Denver/Columbia 
clinical trial (Freed et al., 2001). In response to amphetamine administration, GID 
resemble a more robust, widespread dyskinetic profile similar to LID; however, they are 
only observed in the presence of a DA graft and as the graft matures. In our laboratory, 
we have more recently relied on amphetamine administration to induce GID based on 
the finding that DA-grafted, and not sham-grafted, rats demonstrate robust dyskinetic 
behavior in response to low-dose amphetamine (Lane, Brundin, et al., 2009b; Lane, 
56 
 
Vercammen, et al., 2009; Shin et al., 2012b; G. A. Smith, Breger, et al., 2012; G. A. 
Smith, Heuer, et al., 2012). 
Figure 1.9: Modeling Experimental GID in Rodents.  
Schematic diagram illustrating that plasma DA levels must be elevated with amphetamine 
(or levodopa) administration in rats to “push” the animal into a diphasic-like dyskinesia 
range, phenotypically like the GID behavior seen in engrafted patients with PD. Upon low-
dose  amphetamine  administration,  grafted  parkinsonian  rats  will  develop  focal, 
stereotypic  movements  that  characterize  GID  comparable  to  grafted  human  patients. 
Adapted  from  (Steece-Collier  et  al.,  2012).  Abbreviations:  LD  =  levodopa;  amph  = 
amphetamine.  
While spontaneous, non-medicated GIDs can occur in rodent models, they occur 
sporadically, and in their active phase (i.e., dark), making behavioral evaluation almost 
impossible. The phenomenon of requiring pharmacological agents to raise plasma DA 
levels in animal models arguably remains the only major discrepancy between 
experimental preclinical studies and clinical human trials of GID. Regardless, the 
appearance of GID, both in humans and in rodents, only manifests after grafting as the 
cells mature and is not seen preoperatively (T. Carlsson et al., 2006; Lane et al., 2006; 
57 
 
 
 
Lane, Vercammen, et al., 2009; Maries et al., 2006; Soderstrom et al., 2008). Further 
limitations of neural grafting will be discussed later on.  
Postulated Mechanisms Underlying GID Behavior  
There remains contention in the field of neural transplantation as the underlying 
mechanisms responsible for GID behavior have not yet been elucidated. While some 
are confident that the presence of non-dopaminergic neurons in the grafts are the culprit 
(see below), preclinical and clinical evidence suggests against this notion. Some have 
shown that the size of the graft itself impacts GID: grafted parkinsonian rats with large 
grafts demonstrated increased GID severity compared to smaller grafts (Lane et al., 
2006). In contrast, another study demonstrated that focal, not widespread, grafts induce 
GID behavior in parkinsonian rats (Maries et al., 2006). Other groups have also 
revealed that the degree of disease severity or the severity of preoperative LID behavior 
correlates the development of GID (García et al., 2011; Lane, Brundin, et al., 2009b; 
Rylander Ottosson & Lane, 2016; Tronci et al., 2015). Additional components that have 
been considered include immune response (Soderstrom et al., 2008), age of the graft 
recipient, and preoperative cell storage. Consequently, clinical researchers have 
endeavored to modify and optimize factors such as patient selection and cell 
composition prior to transplantation; however, the mystery of GID remains. In the 
following section, five prominent postulated GID mechanisms relating to my studies are 
discussed: the presence of non-DA neurons, the immune response, abnormal graft-host 
synaptic circuitry, uneven dopamine innervation/excessive DA release, and 
DA/glutamate co-transmission.  
58 
 
Presence of Non-DA Neurons/Cellular Components 
The cellular composition of eVM grafts, specifically the presence of 5-HT 
neurons, has been suggested as a possible underlying factor responsible for GID 
behavior. While the 5-HT system in the DA-denervated brain (i.e., PD) has been linked 
to LID following administration of levodopa (Carta et al., 2007; Lindgren et al., 2010; 
Rylander et al., 2010; Sellnow et al., 2019; H. Tanaka et al., 1999), there remains a lack 
of consensus on the role of this system in the development of GID. The hypothesis of 5-
HT and GID is largely based on the biological ability of 5-HT neurons to convert, store, 
and release DA due to having similar cellular machinery. For instance, it is well-known 
that 5-HT neurons can take up exogenous levodopa, convert it into DA, and store DA in 
its vesicles via the vesicular monoamine transporter 2 (VMAT2) found in both DA and 5-
HT neurons (Tronci et al., 2015). However, because 5-HT neurons do not possess 
dopamine transporters (DAT) for DA reuptake, and do not have regulatory DA 
autoreceptors on their terminals, DA continues to be released and left in the synaptic 
cleft, theoretically leading to GID behavior (Politis, 2010).  
Many preclinical rodent model studies have collected evidence in favor of this 
hypothesis, demonstrating the presence of 5-HT+ neurons within intrastriatal eVM 
transplants (Winkler et al., 2005). Using bimodal chemogenetic (DREADD) activation of 
5-HT receptors, Aldrin-Kirk and colleagues observed substantial GID induction in 6-
OHDA-lesioned rats (Aldrin-Kirk et al., 2016). Likewise, in grafted patients with PD, two 
individuals who exhibited significant GID behavior developed excessive 5-HT 
innervation from their grafts. Following administration of buspirone, which is a partial 5-
HT1a agonist, GID behavior in these patients was attenuated (Politis et al., 2010; Shin 
59 
 
et al., 2012a). In another study also conducted by Politis, positron emission topography 
(PET) and single photon emission computed tomography (SPECT) imaging revealed an 
elevated 5-HT/DA ratio within eVM neurons that were transplanted into an individual 
with PD (Politis et al., 2011). It is important to note that, in another study where grafted 
patients had abundant 5-HT neurons in their grafts, they did not develop GID (Mendez 
et al., 2008).  
To contrast the evidence in favor of the role of the 5-HT system in GID, other 
research has shown that GID can develop in the absence of 5-HT neurons. For 
instance, histological results collected by Lane and colleagues of 6-OHDA-lesioned rats 
following intrastriatal VM transplantation revealed very low numbers of 5-HT+ neurons 
despite GID expression (Lane, Brundin, et al., 2009a). Further, the 5-HT/DA cell ratio 
within grafted VM grafts was not shown to be significantly correlated with GID behavior 
in parkinsonian rat models (García et al., 2012; Mercado et al., 2021). Lastly, an 
experiment that transplanted DA-only, DA + 5-HT, or 5-HT-only grafted neurons into 6-
OHDA-lesioned rats demonstrated that only the recipients of either DA-only or DA + 5-
HT neurons exhibited amphetamine-mediated GIDs. 5-HT alone did not induce aberrant 
behavior (Shin et al., 2012b), suggesting that the DA system within grafted neurons may 
provide more of a contribution to GIDs (Aldrin-Kirk et al., 2016; García et al., 2012; 
Lane, Brundin, et al., 2009b; Rylander Ottosson & Lane, 2016).  
A reasonable, biological explanation for the divergency of the above studies is 
that 5-HT neurons may, instead, play more of a modulatory, instead of a direct, role in 
GID development. When given concomitantly with a DAT blocker, fluvoxamine (i.e., 
serotonin transporter (SERT) blocker) administration significantly increased GID 
60 
 
expression in 6-OHDA-lesioned parkinsonian rats (Lane et al., 2006). Another 
experiment similarly co-administered 8-Hydroxy-2-(di-n-propylamino)tetralin (8-OH-
DPAT; a 5-HT agonist) with raclopride (D2 receptor antagonist) to parkinsonian rodents, 
and this co-administration suppressed amphetamine-mediated axial and limb GIDs 
(Lane, Brundin, et al., 2009b). Moreover, eticlopride administration alone, also a D2 
antagonist, suppressed GIDs in parkinsonian rats (Shin et al., 2012a). Lastly, while 
buspirone is a 5-HT receptor partial agonist, it also displays DA D2 antagonism (for 
review (Steece-Collier et al., 2012)). Collectively, the evidence seemingly points to more 
of a key role of the dopaminergic system in GID behavior (discussed further in the 
“Uneven DA reinnervation/DA release” section). While the 5-HT-GID hypothesis remains 
controversial as patients still express GID behavior with low 5-HT expression, clinical 
trials have since attempted to minimize the inclusion of 5-HT neurons prior to 
transplantation to lower the potential risk of GID exhibition in patients with PD (Lane & 
Lelos, 2022).  
Immune Response 
The host immune response has been a major area of debate in the field of neural 
transplantation (Tronci et al., 2015). Historically, the CNS was considered to be an 
immuno-privileged site; however, moderate immune activation does occur in the brain 
following ectopic cell engraftment, mostly due to the necessity of having to use non-
genetically identical allografts in human subjects (for review (Steece-Collier et al., 
2012)). Several clinical trials have reported the presence of immune markers such as 
activated microglia surrounding the grafted cells in immunohistochemical postmortem 
analyses of grafted patients with PD (Freed et al., 2001; Kordower et al., 1997; Olanow 
61 
 
et al., 2003; Winkler et al., 2005). Significantly elevated levels of activated microglia and 
astrocytes surrounding DA grafts transplanted into parkinsonian rat models has also 
been reported, sharply contrasting a lack of microglia and astrocytes in non-DA control 
grafts (Lane & Lelos, 2022; Soderstrom et al., 2008).  
Not only have these studies marked the presence of microglia and astrocytes 
surrounding grafted DA neurons, research has also pointed to a probable role of the 
immune response in the induction of GID behavior clinically. For instance, in the Tampa-
Mount Sinai trial in which low-dose immunosuppressive medication was given for six 
months following grafting surgery, patients developed GID behavior only after 
immunosuppression was ceased (Olanow et al., 2003). The Denver/Columbia trial, 
which did not offer any immunosuppression, similarly reported GID behavior in grafted 
patients with PD (Freed et al., 2001). Likewise, in our primary DA-grafted parkinsonian 
rat model, GID behavior emerged, and increased, following exposure to immune 
activation via injections of peripheral spleen cells (Soderstrom et al., 2008). Curiously, 
GID did not manifest in grafted parkinsonian rats who received tissue from the same 
inbred strain (i.e., syngeneic grafts), further confirming a role of the host-immune 
response in GID development (Soderstrom et al., 2008; Steece-Collier et al., 2012).  
Mechanistically, immune activation has been proposed to cause GID by a few 
mechanisms. First, immune activation has potential to cause diminished graft cell 
survival, ultimately affecting the ability of the graft to effectively integrate into the host 
and successfully restore DA levels in the STR (Hagell & Cenci, 2005; Hudson et al., 
1994; Tronci et al., 2015). Another possibility is the release of pro-inflammatory 
cytokines that could activate specific signaling pathways or remodel synaptic 
62 
 
connections, both of which could lead to the development of dyskinetic behavior (for 
review (Hagell & Cenci, 2005)). Indeed, cytokines released from inflammatory immune 
cells activated nuclear signaling pathways that increased Fos protein expression in 
striatal neurons, which was correlated with the development of LID in animal models 
(Andersson et al., 1999; Hagell et al., 2002a; Winkler et al., 2002). Moreover, DA is 
known to have a modulatory effect on astrocytes and microglia, both of which express 
D1- and D2-like receptors (Boyson et al., 1986; Färber et al., 2005; Miyazaki et al., 
2004). In this way, transplanting exogenous DA-producing cells would be expected to 
induce immune cell infiltration, activation, and cytokine release from astrocytes and 
microglia in the host (Lane & Lelos, 2022).  
As more research is conducted on the connection between the host-immune 
response and GID induction, understanding whether immunosuppressive therapies in 
preclinical animal models eliminates GID may be an important next-step in elucidating 
its underlying mechanisms. It would also be important to reveal which specific immune 
components (e.g., microglia, complement factors) are seemingly permissive to these 
aberrant GID behaviors. More specifically, some immune factors could affect synapse 
formation between the grafted DA neurons and the host MSNs, potentially leading to 
GID (for review (Steece-Collier et al., 2012)). This could offer an explanation as to why 
there is an increase in the percentage of atypical, asymmetric synapses formed by 
engrafted DA neurons in GID+ patients with PD and grafted parkinsonian rats (see the 
“Abnormal Graft-Host Synaptic Circuitry” section). In Chapter 3 and 4, correlations 
between well-known immune markers and GID expression is experimentally 
investigated in our DA-grafted parkinsonian rat model.  
63 
 
Abnormal Graft-Host Synaptic Circuitry  
Another hypothesis theorized to be responsible for GID behavior includes 
abnormal graft-host synaptic circuitry. Grafted eVM neurons establish synaptic 
connections with host striatal MSNs (Bolam et al., 1987; Kordower et al., 1996); 
however, it is more than possible that the grafted neurons fail to restore proper synaptic 
circuitry onto host MSNs, leading to signaling abnormalities that could potentially 
underlie GID (Hagell & Cenci, 2005). While DA neurons normally form en passant (i.e., 
in passing), symmetrical appositions, largely devoid of defined synaptic characteristics, 
onto the dendritic spines of MSNs (Gerfen & Surmeier, 2011; W. Shen et al., 2016), 
increasing evidence indicates that DA neurons in grafted subjects exhibit abnormal, 
atypical asymmetric synaptic connections (i.e., axodendritic or axosomatic) onto host 
neurons. The functional asymmetric synaptic connections are characteristic of excitatory 
neurotransmission (e.g., glutamatergic transmission) (Peters & Palay, 1996). In this way, 
it is reasonable to suggest that an increase in the formation of asymmetric synapses 
between grafted DA and host neurons could lead to the development of dyskinesia (i.e., 
GID) (Morgante et al., 2006; Picconi et al., 2003). 
Various research groups have collected evidence in favor of the abnormal 
synaptic circuitry hypothesis. For instance, using ultrastructural and 
immunohistochemical analysis, Freund and colleagues and Mahalik and colleagues 
demonstrated that striatal DA grafts formed aberrant connections with host MSNs in a 6-
OHDA parkinsonian rat model, specifically onto host cell bodies (T. Freund et al., 1985; 
Mahalik et al., 1985). Arguably the most promising findings were demonstrated by the 
Steece-Collier group in 2008. In a DA-grafted parkinsonian rat model, our group 
64 
 
demonstrated, ultrastructurally, that the grafted DA neurons made asymmetric synapses 
directly onto the host dendrites or the cell somas, and this was strongly correlated with 
the exhibition of GID behavior in these animals (Soderstrom et al., 2008). Interestingly, 
this phenomenon has also been importantly noted in human postmortem tissue from 
grafted patients with PD; asymmetric connections made by grafted DA neurons were 
also observed ultrastructurally (Kordower et al., 1997).  
Not only have asymmetric synapses been detected in preclinical rodent models 
and in patients with PD, atypical synapses have been observed in non-human primate 
parkinsonian models as well. In MPTP-lesioned primates, 67% of transplanted DA 
neurons exhibited axodendritic connections, 32% axosomatic connections, and only 
1.33% onto dendritic spines (Leranth et al., 1998). This is in comparison to the control 
primates that had 97% of DA terminals that terminated onto the host MSN spines (i.e., 
normal symmetric associations). Despite the evidence of abnormal graft-host circuitry in 
this non-human primate model of neural grafting, it is important to mention that GIDs 
have never been observed in primates, even after levodopa or amphetamine treatment, 
so the phenomenon in this model cannot be correlated, yet, to GID behavior (Kordower, 
Vinuela, et al., 2017). Nevertheless, the abundance of evidence collected thus far 
deems in favor of the abnormal graft-host synaptic connectivity hypothesis underlying 
GID, and if correct, enhancement of physiological synapse formation between grafted 
DA and host neurons could effectively ameliorate GID in both patients and animal 
models of PD.  
65 
 
Uneven DA reinnervation/DA release 
Preclinical animal models and clinical grafting trials have pointed to the possibility 
of uneven DA reinnervation and/or excess DA release in association with GID 
development following engraftment of eVM DA neurons. However, study results remain 
indefinite or contradictory. In grafted individuals with PD, clinicians have performed 18F-
DOPA (fluorodopa; FD) PET scans in order to directly measure DA storage capacity and 
indirectly assess DA innervation (Hagell & Cenci, 2005). With these scans, researchers 
have demonstrated that VM grafts can normalize FD uptake in the grafted striatum 
(Piccini et al., 1999). Further, FD values of grafted patients were found to be 
significantly increased in patients who also developed GID compared to those who did 
not (Ma et al., 2002). Remarkably, in the Denver/Columbia clinical grafting trial, patients 
who expressed GID behavior had twice the amount of FD PET signals compared to 
patients who did not develop GID at 12 months following transplantation; at 24 month 
post-transplantation, levels were almost three times larger (Ma et al., 2002).  
Despite demonstrable promise for the role of excess DA release, other clinical 
trials have failed to provide comparable results. For instance, in a retrospective analysis 
conducted by Hagell and colleagues, GID scores were not found to be correlated with 
postoperative FD uptake (Hagell et al., 2002b). Similarly, Olanow and colleagues 
reported a lack of correlation between GID and FD uptake in the putamen (Olanow et 
al., 2003). Not only were they not able to find a correlation in patients, preclinical animal 
studies have likewise demonstrated a lack of association between GID and FD (Cragg 
et al., 2000; Doucet et al., 1990; Kirik et al., 2001). A key issue of these collective 
clinical trials and preclinical animal studies is, even if an increase in FD uptake was 
66 
 
demonstrated (Ma et al., 2002), DA uptake failed to exceed supranormal DA levels or 
innervation of the intact STR (Hagell et al., 2002a; Ma et al., 2002; Olanow et al., 2003), 
arguing against the theory of excess DA release, or at least widespread excess release. 
Because of this, Hagell et al., 2002 has posited that OFF-medication dyskinesia (i.e., 
GID) do not result from excessive innervation of grafted DA neurons (Hagell et al., 
2002b).  
Although the postulation from Hagell and colleagues is not in favor of excessive 
DA release from the grafts, the possibility of this phenomenon underlying GID behavior 
should not be completely denied. An alternative explanation that has been offered is 
that GIDs result from of so-called “hotspots” of DA activity due to uneven patterns of DA 
release and/or reinnervation. Indeed, evidence from Ma Y and colleagues showed that 
FD uptake was increased in GID+ patients but signals were localized to only two zones 
within the left putamen (Ma et al., 2002). Additional evidence has established that more 
focal VM grafts, either transplanted at two separate striatal sites (Lane et al., 2006) or at 
a single “hotspot” site (Maries et al., 2006), induced GID behavior in parkinsonian rats. 
In contrast, VM tissue transplanted and distributed at six sites, which provided more 
widespread graft-derived reinnervation, significantly reduced GID induction (Maries et 
al., 2006). In this way, imbalanced DA reinnervation may be a more appropriate 
pathogenic theory potentially underlying GIDs.  
While current clinical trials and preclinical animal studies exhibit contrarian 
evidence, it is imperative to note the limitations of these studies. Most importantly, FD 
PET uptake widely used in the above studies does not directly show DA release. It only 
measures the capacity of the grafted neurons to uptake and synthesize DA. 
67 
 
Undoubtedly, this technique is a valuable tool; however, it does not illustrate the 
intricacies of DA signaling/release occurring in grafted VM neurons. Certainly, in spite of 
the lack of evidence for VM grafts releasing excess DA, other clinical trials have 
revealed that buspirone administration (a DA D2 receptor antagonist) successfully 
reduced GID severity in grafted patients (Politis et al., 2010, 2011; Steece-Collier et al., 
2012), yet another piece of evidence in favor of a role for DA release. Therefore, the 
connection between DA release and/or uneven DA innervation and GID behavior should 
continue to be investigated in clinical research until fully elucidated.  
DA/glutamate co-transmission 
Due to the complex nature of GID behavior, it is more than likely that one 
mechanism alone does not solely cause GID. For example, excessive DA release/DA 
reinnervation alone may not cause GID, but in combination with abnormal synaptic 
circuitry, it could underlie GID. Of relevance, DA neurons have been shown to have the 
potential to co-release DA and other neurotransmitters, including glutamate. While this 
has been known for some time, the functional significance of dual neurotransmission 
remains unclear. Many research groups have reported that a subpopulation of DA 
neurons can co-express both DA and glutamate, evidenced by co-expression of 
vesicular glutamate transporter 2 (VGLUT2) in tyrosine hydroxylase-positive (TH+) 
neurons (Bérubé‐Carrière et al., 2009; Buck et al., 2022; Dal Bo et al., 2004; Fortin et 
al., 2019; Mercado et al., 2021, 2024; Mingote et al., 2019; Root et al., 2016; H. Shen et 
al., 2018; Sulzer et al., 1998; Trudeau et al., 2014). Confirmed behaviorally, reduced 
locomotion in mice following cocaine administration (Hnasko et al., 2010) and 
methamphetamine (H. Shen et al., 2021) was reported in knock-out mice of VGLUT2 
68 
 
expression in DA neurons. Hnasko and colleagues also demonstrated, in slice culture of 
VGLUT2 knock-out DA neurons, that glutamate and DA release was significantly 
decreased, further supporting an important function of DA/glutamate co-transmission 
(Hnasko et al., 2010). Despite evidence of co-neurotransmitter release, it is uncertain 
how DA/glutamate co-release may contribute to GID behavior. 
A promising phenomenon that could provide a logical functional explanation for 
the role of DA/glutamate release in GID is known as vesicular synergy. The general idea 
behind vesicular synergy involves a loading enhancement of non-glutamate 
neurotransmitters into secretory vesicles via the co-localization of a vesicular glutamate 
(VGLUT) protein (El Mestikawy et al., 2011). This phenomenon has been well 
documented in cholinergic neurons: the presence of vesicular glutamate transporter 3 
(VGLUT3) and vesicular acetylcholine transporter (VAChT) on the same synaptic 
vesicle enhances packaging and release of acetylcholine (Gras et al., 2008). Vesicular 
synergy in other systems, however, such as DA and GABAergic neurons, has only 
recently begun to be explored (see (Prévost et al., 2024, 2025)). In dopaminergic 
systems, it is hypothesized that, if VGLUT2 protein and VMAT2 are present on the same 
synaptic vesicle, enhanced packaging of DA will occur and lead to increased DA release 
(Aguilar et al., 2017; Hnasko et al., 2010; H. Shen et al., 2018). The data described 
above in VGLUT2 knock-out mice supports the occurrence of this phenomenon in DA 
neurons (Hnasko et al., 2010; H. Shen et al., 2021).  
If VMAT2/VGLUT2 are co-localized on the same vesicle in grafted DA neurons, 
increased DA release could potentially lead to the development of GID. While 
promising, current clinical trials have exhibited varying support behind increased DA 
69 
 
release and GID behavior (see above); however, researchers are limited by the proper 
tools for analysis. Although postmortem evidence of asymmetric synapses formed by 
grafted DA neurons in PD subjects (T. Freund et al., 1985; Kordower et al., 1997; 
Mahalik et al., 1985; Mercado et al., 2021; Soderstrom et al., 2008) support this idea, 
future experiments are still needed to definitively determine whether VMAT2 and 
VGLUT2 are found on the same vesicle in the grafted striatal environment. As will be 
discussed in later portions of my thesis, my preclinical evidence suggests that the 
theory of vesicular synergy provides a compelling mechanism of how DA/glutamate co-
transmission (and excessive DA release) could underlie GID behavior. Furthermore, as 
mentioned above, GIDs are a complex behavioral malady in which not only one 
mechanism is likely responsible. The theory of vesicular synergy provides one 
parsimonious explanation for both the phenomenon of excess DA and the phenomenon 
of abnormal graft-host synaptic circuitry.  
Overall, the manifestation of aberrant GID behavior in a subpopulation of PD 
patients who received VM transplants has limited neural grafting as an effective 
therapeutic approach for PD. While promising preclinical and clinical studies have 
investigated the possible underlying mechanisms of GID behavior, its true pathogenesis 
remains elusive, as does the solution to its successful amelioration. Most recently, and 
for many reasons, clinical grafting trials have begun utilizing different cell sources 
including induced pluripotent stem cells (iPSCs). Because VM transplants are the only 
cell source to demonstrate GID induction thus far, clinical outcomes of iPSC grafting 
trials remain a gap in our knowledge, adding another obstacle toward optimization of 
cell transplantation therapy for patients with PD.  
70 
 
Alternative Cell Sources  
To date, the most successful cell source in neural transplantation is eVM tissue 
that contains developing SN DA neurons. Collectively, the studies addressed above 
have provided sufficient evidence that transplanted eVM tissue can survive long term, 
successfully produce DA, and induce behavioral improvement in individuals with PD. 
However, using this cell source is not without caveat: utilizing eVM tissue is 
encumbered with several practical and ethical concerns. Ethically, the use of eVM 
neurons from aborted tissue is highly controversial and not accepted in many countries 
(Brundin et al., 2010). As a practical concern, trying to procure sufficient amounts of 
tissue (approximately 4-10 embryos per patient) on a nation-wide scale is nearly 
impossible (Barker et al., 2017; Stoddard-Bennett & Reijo Pera, 2019) and contributes 
further to the immunological concerns of multiple allograft donors. Indeed, in the 
TRANSEURO clinical grafting trial, only 20 of the planned 90 surgeries were conducted 
due to low tissue supply (human embryonic ventral mesencephalic, hEVMs) (Barker et 
al., 2017).  
To combat these issues, a number of different cell sources are being investigated 
as alternatives to eVM tissue. Some of these alternative sources include neural stem 
cells and bone marrow mesenchymal cells. Most recently, the field has shifted its 
attention to the use of human pluripotent stems cells (hPSCs), which include human 
embryonic stem cells (hESCs) and iPSCs, as promising cell sources in clinical grafting 
trials. Therefore, a brief discussion on each source can be found below.  
71 
 
Figure 1.10: hESCs vs. iPSCs as cell transplantation sources for PD.  
Two  sources  of  dopaminergic  progenitors  currently  being  utilized  as  cell  sources  for 
transplantation in PD include human embryonic stem cells (hESCs) and human induced 
pluripotent  stem  cells  (iPSCs).  hESCs  are  harvested  from  human  blastocysts  and 
differentiated  into  midbrain  dopaminergic  progenitor  cells  (mDAPs)  for  transplantation. 
iPSCs  are  reprogrammed  from  somatic  cells  (e.g.,  fibroblasts)  from  adult  donors, 
differentiated into mDAPs, and then transplanted into the patient’s brain. Adapted from 
(Parmar  et  al.,  2020). Abbreviations:  hESCs  =  human  embryonic  stem  cells;  mDAPs: 
midbrain dopaminergic progenitor cells (mDAPs); iPSCs = induced pluripotent stem cells. 
Human Embryonic Stem Cells (hESCs) 
Human embryonic stem cells (hESCs) are derived from pre-implantation 
embryos and can be successfully differentiated into authentic midbrain dopaminergic 
neurons (Figure 1.10) (Barker et al., 2017). In 1998, Thompson and colleagues 
reported the first successful hESC derivation, stimulating interest in the use of hESCs 
due to its unlimited capacity for self-renewal and pluripotent differentiation (Brundin et 
al., 2010; Thomson et al., 1998). Later on, hESCs were shown to successfully survive 
and provide functional benefit following engraftment into mouse, rat, and non-human 
72 
 
 
primate models of PD (Kirkeby et al., 2012; Kriks et al., 2011; Roy et al., 2006). Most 
importantly, hESCs were found to be molecularly and functionally identical to human 
eVM DA neurons (Grealish et al., 2014; Parmar et al., 2020). In a 2017 trial of 
parkinsonian non-human primates that received intrastriatal hESC-transplants, 
behavioral improvement was demonstrated for at least 24 months following 
engraftment, and there were slight increases in DA which correlated with behavioral 
improvement (Cyranoski, 2017). These findings provided preclinical data for a phase 
I/IIa ESC-based clinical transplantation study in China, although results from the trial are 
not yet available (Wang et al., 2018).  
The current limitations of utilizing hESCs as a cell source for transplantations in 
PD include the necessity for immunosuppression and the possibility for tumorigenesis 
(Stoddard-Bennett & Reijo Pera, 2019). Because of the unlimited capacity for self-
renewal, hESCs have the ability to differentiate into various somatic cell types. In this 
way, it is possible for hESCs to form teratomas in the host brain; thus, particular care 
must be taken in order to avoid differentiation into non-neuronal cells (Brundin et al., 
2010). Also with hESCs, strong immunosuppressants must be administered prior to 
transplant surgery to avoid graft rejection and human leukocyte antigen (HLA) matches 
are required.  
Human Induced Pluripotent Stem Cells (iPSCs) 
Induced pluripotent stem cells (iPSCs) are another source being investigated as 
an alternative to eVM neuron transplants. iPSCs can be generated by reprogramming 
differentiated cells taken from the patient (e.g., fibroblasts) into an embryonic state 
(Figure 1.10) (J. Takahashi, 2018; K. Takahashi et al., 2007; K. Takahashi & Yamanaka, 
73 
 
2006) and then are pushed directly into DA neurons (Doi et al., 2014; Hargus et al., 
2010; Rhee et al., 2011; Swistowski et al., 2010; Theka et al., 2013). Using iPSCs, 
which come from non-embryonic tissue, removes the ethical obstacles that are present 
with eVM neurons. Additionally, the need for postoperative immunosuppressants is 
greatly reduced because iPSCs permit HLA matches (i.e., autologous transplantation).  
Several preclinical animal studies of PD have demonstrated that transplanted 
human iPSC-derived DA neurons can survive long-term and enable functional motor 
benefit (Doi et al., 2014; Hargus et al., 2010; Kikuchi et al., 2011; Rhee et al., 2011; 
Swistowski et al., 2010). Human iPSCs were also successfully transplanted into 
parkinsonian non-human primates, revealing robust growth, proliferation, and 
integration two years following surgery (Kikuchi et al., 2017). These studies led to the 
first clinical trial of iPSC-derived DA neurons grafted into patients with PD held in Kyoto, 
Japan in 2018. Since this trial, only one additional human case-study has been 
conducted. Autologous iPSC-derived DA neuron transplants were engrafted into a 
single individual with PD; the cells survived two years, but there were no significant 
changes in the patient’s MDS-UPDRS Part III scores. However, the patient did show an 
improvement in the Parkinson’s Disease questionnaire 39 (PDQ-39) (Schweitzer et al., 
2020).  
Unfortunately, one of the greatest limitations of using iPSCs for neural 
transplantation is the cost: reprogramming a patient’s cells may be not only a lengthy 
process but also expensive for the patient (Stoddard-Bennett & Reijo Pera, 2019). 
Moreover, like hESCs, iPSCs also possess a substantial proliferative capacity. 
Therefore, incomplete, or uncontrolled differentiation is possible, increasing the potential 
74 
 
risk for tumor formation in the grafted neurons (Brundin et al., 2010; J.-Y. Li, 
Christophersen, et al., 2008). To date, neither in the non-human primate study nor the 
Kyoto clinical trial have iPSC transplants resulted in tumor formation; however, the use 
of iPSCs is only in its infancy, so further research is warranted. Please see Table 1.1 for 
a list of the current planned or ongoing clinical trials that are utilizing hESCs or human 
iPSCs for transplantation in patients with PD.  
Additional Limitations of Cell Transplantation Therapy 
Although still a promising alternative therapeutic for PD, like most therapies, cell 
transplantation is not without limitation. While the overall goal of neural transplantation 
in PD is to repair the loss of dopaminergic neurons by engrafting new ones, this will not 
“cure” PD. In many cases, drug treatment and rehabilitation will still be required 
following transplantation surgery (Mishima et al., 2021). Additionally, this method cannot 
holistically treat all signs and symptoms of PD: non-motor dysfunction remains following 
transplantation as these symptoms stem from various other pathways in the brain 
(Barker et al., 2024).  
Not only are non-motor symptoms not targeted with neural transplantation, motor 
recovery in response to DA grafts can also be variable. Variability has been 
demonstrated both between different clinical trials and among individuals within the 
same trial (Barker et al., 2013; Winkler et al., 2005). Following engraftment, some 
patients have demonstrated great graft-derived motor benefit, while others have 
exhibited limited to no benefit (e.g., (Freed et al., 2001)). For example, one individual 
with PD who received an embryonic VM DA neuron transplant demonstrated dramatic 
recovery for 12 years after engraftment. However, by year 18, graft-derived motor 
75 
 
benefit was almost non-existent for this patient, despite robust graft survival and 
extensive innervation (W. Li et al., 2016). Postmortem analysis of another patient who 
received an embryonic VM DA graft revealed a significantly dense and widespread 
graft; however, the patient never experienced motor benefit and had to receive DBS for 
GID (Kordower, Goetz, et al., 2017).  
Another shortcoming of this experimental therapy concerns the development of 
α-synuclein pathology within the grafted cells. Α-synuclein-positive protein inclusions 
were found to develop in human embryonic VM midbrain tissue engrafted into patients 
with PD 10+ years post-transplantation (Barker et al., 2024; Kordower et al., 2008; J.-Y. 
Li, Englund, et al., 2008). It was reported that α-synuclein in these grafts was 
phosphorylated at Serine residue 129, indicative of disease-related, aggregated α-
synuclein (Anderson et al., 2006; J.-Y. Li, Englund, et al., 2008). Statistically, in the Li et 
al. report, only 1.9% of a patient’s 12-year-old graft contained Lewy bodies—a  number 
that increased to approximately 5% in another patient with a 16-year-old graft (J. Li et 
al., 2010). Some studies have found no Lewy pathology in long-term grafts up to 14 
years old (Hallett et al., 2014; Mendez et al., 2008). While potentially problematic, these 
data argue that only a small portion of the transplanted dopaminergic neurons will 
develop PD pathology, and despite the presence of pathological α-synuclein inclusions, 
some patients have still demonstrated motor benefit. Therefore, researchers believe 
that the presence of this pathology should not invalidate cell transplantation as a 
therapy for PD.  
Scientists remain uncertain why and how Lewy pathology occurs in grafted 
neurons, theorizing that pathology spreads to the transplanted neurons via a prion-like 
76 
 
mechanism (Brundin et al., 2010; Brundin & Kordower, 2012; Brundin & Melki, 2017; 
Kordower & Brundin, 2009; J.-Y. Li, Englund, et al., 2008; Olanow & Brundin, 2013; 
Olanow & Prusiner, 2009; Surmeier et al., 2017) or that α-synuclein is upregulated and 
aggregated in response to inflammation (Brundin et al., 2010). Indeed, α-synuclein 
pathology has been known to transfer from host to graft in parkinsonian mouse and rat 
models (Hansen et al., 2011; Kordower et al., 2011). Although the significance of α-
synuclein pathology in neural transplantation has yet to be determined, it will be critical 
to consider with the future use of autologous stem cell transplants as there may be a 
possibility of pathology spread from the host to donor cells (Parmar et al., 2020).  
Lastly, a limitation that has emerged more recently is the lack of a standard 
surgical device used to stereotaxically deliver DA cells to the brain. For instance, it is 
thought that the variety of different devices used in the original human embryonic VM 
transplant trials could have exacerbated the negative outcomes or heterogeneity in 
clinical responsiveness. Without a regulated global standard surgical device, developing 
a consistent, effective transplantation protocol will be challenging. Therefore, deciding 
on a device for cell implantation will have to be carefully considered moving forward, 
especially with stem cell trials commencing, in order to greatly reduce heterogeneity in 
clinical outcomes (Barker et al., 2024).  
As the field of regenerative medicine continues to evolve, especially with the 
increasing use of stem cells in ongoing clinical trials, it will be imperative to continue to 
carefully consider the limitations and concerns surrounding cell therapy. As addressed 
above, the aberrant side effect of GID remains a significant obstacle, and understanding 
its underlying pathology will be necessary for this field to continue to advance. While it is 
77 
 
true that a large number of factors have been addressed in prior clinical grafting trials 
(e.g., disease severity, patient age, and removal of 5-HT neurons), other factors that 
could affect patient outcomes in response to transplantation remain relatively 
unexplored (e.g., genetic risk factors). Ultimately, PD is a disease of complex 
heterogeneity. Therefore, moving toward a precision-medicine-based approach could be 
crucial in effectively developing and optimizing therapies that will provide maximum 
benefit for each and every patient, particularly in the context of neural transplantation.  
78 
 
 
 
BIBLIOGRAPHY 
Aarsland, D., Andersen, K., Larsen, J. P., Lolk, A., Nielsen, H., & Kragh–Sørensen, P. 
(2001). Risk of dementia in Parkinson’s disease. Neurology, 56(6), 730–736. 
https://doi.org/10.1212/WNL.56.6.730 
Abou‐Sleiman, P. M., Healy, D. G., Quinn, N., Lees, A. J., & Wood, N. W. (2003). The 
role of pathogenic DJ‐1 mutations in Parkinson’s disease. Annals of Neurology, 
54(3), 283–286. https://doi.org/10.1002/ana.10675 
Acosta, S. A., Tajiri, N., de la Pena, I., Bastawrous, M., Sanberg, P. R., Kaneko, Y., & 
Borlongan, C. V. (2015). Alpha‐Synuclein as a Pathological Link Between Chronic 
Traumatic Brain Injury and Parkinson’s Disease. Journal of Cellular Physiology, 
230(5), 1024–1032. https://doi.org/10.1002/jcp.24830 
Aguilar, J. I., Dunn, M., Mingote, S., Karam, C. S., Farino, Z. J., Sonders, M. S., Choi, S. 
J., Grygoruk, A., Zhang, Y., Cela, C., Choi, B. J., Flores, J., Freyberg, R. J., 
McCabe, B. D., Mosharov, E. V., Krantz, D. E., Javitch, J. A., Sulzer, D., Sames, 
D., … Freyberg, Z. (2017). Neuronal Depolarization Drives Increased Dopamine 
Synaptic Vesicle Loading via VGLUT. Neuron, 95(5), 1074-1088.e7. 
https://doi.org/10.1016/j.neuron.2017.07.038 
Ahlskog, J. E., & Muenter, M. D. (2001). Frequency of levodopa‐related dyskinesias and 
motor fluctuations as estimated from the cumulative literature. Movement 
Disorders, 16(3), 448–458. https://doi.org/10.1002/mds.1090 
Albin, R. L., Young, A. B., & Penney, J. B. (1989). The functional anatomy of basal 
ganglia disorders. Trends in Neurosciences, 12(10), 366–375. 
https://doi.org/10.1016/0166-2236(89)90074-X 
Aldrin-Kirk, P., Heuer, A., Wang, G., Mattsson, B., Lundblad, M., Parmar, M., & 
Björklund, T. (2016). DREADD Modulation of Transplanted DA Neurons Reveals a 
Novel Parkinsonian Dyskinesia Mechanism Mediated by the Serotonin 5-HT6 
Receptor. Neuron, 90(5), 955–968. https://doi.org/10.1016/j.neuron.2016.04.017 
Alessi, D. R., & Sammler, E. (2018). LRRK2 kinase in Parkinson’s disease. Science, 
360(6384), 36–37. https://doi.org/10.1126/science.aar5683 
Alvir, J. M. J., Lieberman, J. A., Safferman, A. Z., Schwimmer, J. L., & Schaaf, J. A. 
(1993). Clozapine-Induced Agranulocytosis -- Incidence and Risk Factors in the 
United States. New England Journal of Medicine, 329(3), 162–167. 
https://doi.org/10.1056/NEJM199307153290303 
Anderson, J. P., Walker, D. E., Goldstein, J. M., de Laat, R., Banducci, K., Caccavello, 
R. J., Barbour, R., Huang, J., Kling, K., Lee, M., Diep, L., Keim, P. S., Shen, X., 
Chataway, T., Schlossmacher, M. G., Seubert, P., Schenk, D., Sinha, S., Gai, W. 
P., & Chilcote, T. J. (2006). Phosphorylation of Ser-129 Is the Dominant 
Pathological Modification of α-Synuclein in Familial and Sporadic Lewy Body 
79 
 
Disease. Journal of Biological Chemistry, 281(40), 29739–29752. 
https://doi.org/10.1074/jbc.M600933200 
Andersson, M., Hilbertson, A., & Cenci, M. A. (1999). Striatal fosB Expression Is 
Causally Linked with l-DOPA-Induced Abnormal Involuntary Movements and the 
Associated Upregulation of Striatal Prodynorphin mRNA in a Rat Model of 
Parkinson’s Disease. Neurobiology of Disease, 6(6), 461–474. 
https://doi.org/10.1006/nbdi.1999.0259 
Arbuthnott, G. W., Ingham, C. A., & Wickens, J. R. (2000). Dopamine and synaptic 
plasticity in the neostriatum. Journal of Anatomy, 196(4), 587–596. 
https://doi.org/10.1046/j.1469-7580.2000.19640587.x 
Arima, K., Uéda, K., Sunohara, N., Hirai, S., Izumiyama, Y., Tonozuka-Uehara, H., & 
Kawai, M. (1998). Immunoelectron-microscopic demonstration of NACP/α-
synuclein-epitopes on the filamentous component of Lewy bodies in Parkinson’s 
disease and in dementia with Lewy bodies. Brain Research, 808(1), 93–100. 
https://doi.org/10.1016/S0006-8993(98)00734-3 
Armstrong, M. J., & Okun, M. S. (2020). Diagnosis and Treatment of Parkinson 
Disease. JAMA, 323(6), 548. https://doi.org/10.1001/jama.2019.22360 
Ascherio, A., & Schwarzschild, M. A. (2016). The epidemiology of Parkinson’s disease: 
risk factors and prevention. The Lancet Neurology, 15(12), 1257–1272. 
https://doi.org/10.1016/S1474-4422(16)30230-7 
Athauda, D., Evans, J., Wernick, A., Virdi, G., Choi, M. L., Lawton, M., Vijiaratnam, N., 
Girges, C., Ben‐Shlomo, Y., Ismail, K., Morris, H., Grosset, D., Foltynie, T., & 
Gandhi, S. (2022). The Impact of Type 2 Diabetes in Parkinson’s Disease. 
Movement Disorders, 37(8), 1612–1623. https://doi.org/10.1002/mds.29122 
Aum, D. J., & Tierney, T. S. (2018). Deep brain stimulation: foundations and future 
trends. Frontiers in Bioscience (Landmark Edition), 23(1), 162–182. 
https://doi.org/10.2741/4586 
Baba, M., Nakajo, S., Tu, P. H., Tomita, T., Nakaya, K., Lee, V. M., Trojanowski, J. Q., 
& Iwatsubo, T. (1998). Aggregation of alpha-synuclein in Lewy bodies of sporadic 
Parkinson’s disease and dementia with Lewy bodies. The American Journal of 
Pathology, 152(4), 879–884. 
Backlund, E.-O., Granberg, P.-O., Hamberger, B., Knutsson, E., Mårtensson, A., 
Sedvall, G., Seiger, Å., & Olson, L. (1985). Transplantation of adrenal medullary 
tissue to striatum in parkinsonism. Journal of Neurosurgery, 62(2), 169–173. 
https://doi.org/10.3171/jns.1985.62.2.0169 
Bagheri, H., Damase-Michel, C., Lapeyre-Mestre, M., Cismondo, S., O’Connell, D., 
Senard, J. M., Rascol, O., & Montastruc, J. L. (1999). A study of salivary secretion 
in Parkinson’s disease. Clinical Neuropharmacology, 22(4), 213–215. 
80 
 
Ball, N., Teo, W.-P., Chandra, S., & Chapman, J. (2019). Parkinson’s Disease and the 
Environment. Frontiers in Neurology, 10. https://doi.org/10.3389/fneur.2019.00218 
Bamford, N. S., Robinson, S., Palmiter, R. D., Joyce, J. A., Moore, C., & Meshul, C. K. 
(2004). Dopamine Modulates Release from Corticostriatal Terminals. The Journal 
of Neuroscience, 24(43), 9541–9552. https://doi.org/10.1523/JNEUROSCI.2891-
04.2004 
Barker, R. A., Barrett, J., Mason, S. L., & Björklund, A. (2013). Fetal dopaminergic 
transplantation trials and the future of neural grafting in Parkinson’s disease. The 
Lancet Neurology, 12(1), 84–91. https://doi.org/10.1016/S1474-4422(12)70295-8 
Barker, R. A., Björklund, A., & Parmar, M. (2024). The history and status of dopamine 
cell therapies for Parkinson’s disease. BioEssays. 
https://doi.org/10.1002/bies.202400118 
Barker, R. A., Parmar, M., Studer, L., & Takahashi, J. (2017). Human Trials of Stem 
Cell-Derived Dopamine Neurons for Parkinson’s Disease: Dawn of a New Era. Cell 
Stem Cell, 21(5), 569–573. https://doi.org/10.1016/j.stem.2017.09.014 
Bastide, M. F., Meissner, W. G., Picconi, B., Fasano, S., Fernagut, P.-O., Feyder, M., 
Francardo, V., Alcacer, C., Ding, Y., Brambilla, R., Fisone, G., Jon Stoessl, A., 
Bourdenx, M., Engeln, M., Navailles, S., De Deurwaerdère, P., Ko, W. K. D., 
Simola, N., Morelli, M., … Bézard, E. (2015). Pathophysiology of L-dopa-induced 
motor and non-motor complications in Parkinson’s disease. Progress in 
Neurobiology, 132, 96–168. https://doi.org/10.1016/j.pneurobio.2015.07.002 
Beach, T. G., Adler, C. H., Lue, L., Sue, L. I., Bachalakuri, J., Henry-Watson, J., Sasse, 
J., Boyer, S., Shirohi, S., Brooks, R., Eschbacher, J., White, C. L., Akiyama, H., 
Caviness, J., Shill, H. A., Connor, D. J., Sabbagh, M. N., & Walker, D. G. (2009). 
Unified staging system for Lewy body disorders: correlation with nigrostriatal 
degeneration, cognitive impairment and motor dysfunction. Acta Neuropathologica, 
117(6), 613–634. https://doi.org/10.1007/s00401-009-0538-8 
Benamer, T. S., Patterson, J., Grosset, D. G., Booij, J., de Bruin, K., van Royen, E., 
Speelman, J. D., Horstink, M. H., Sips, H. J., Dierckx, R. A., Versijpt, J., Decoo, D., 
Van Der Linden, C., Hadley, D. M., Doder, M., Lees, A. J., Costa, D. C., Gacinovic, 
S., Oertel, W. H., … Ries, V. (2000). Accurate differentiation of parkinsonism and 
essential tremor using visual assessment of [123I]-FP-CIT SPECT imaging: the 
[123I]-FP-CIT study group. Movement Disorders : Official Journal of the Movement 
Disorder Society, 15(3), 503–510. 
Bennett, D. A., Beckett, L. A., Murray, A. M., Shannon, K. M., Goetz, C. G., Pilgrim, D. 
M., & Evans, D. A. (1996). Prevalence of Parkinsonian Signs and Associated 
Mortality in a Community Population of Older People. New England Journal of 
Medicine, 334(2), 71–76. https://doi.org/10.1056/NEJM199601113340202 
Bernheimer, H., Birkmayer, W., Hornykiewicz, O., Jellinger, K., & Seitelberger, F. 
81 
 
(1973). Brain dopamine and the syndromes of Parkinson and Huntington Clinical, 
morphological and neurochemical correlations. Journal of the Neurological 
Sciences, 20(4), 415–455. https://doi.org/10.1016/0022-510X(73)90175-5 
Bertilsson, G., Patrone, C., Zachrisson, O., Andersson, A., Dannaeus, K., Heidrich, J., 
Kortesmaa, J., Mercer, A., Nielsen, E., Rönnholm, H., & Wikström, L. (2008). 
Peptide hormone exendin‐4 stimulates subventricular zone neurogenesis in the 
adult rodent brain and induces recovery in an animal model of parkinson’s disease. 
Journal of Neuroscience Research, 86(2), 326–338. 
https://doi.org/10.1002/jnr.21483 
Bertler, Å., & Rosengren, E. (1959). Occurrence and distribution of dopamine in brain 
and other tissues. Experientia, 15(1), 10–11. https://doi.org/10.1007/BF02157069 
Bérubé‐Carrière, N., Riad, M., Dal Bo, G., Lévesque, D., Trudeau, L., & Descarries, L. 
(2009). The dual dopamine‐glutamate phenotype of growing mesencephalic 
neurons regresses in mature rat brain. Journal of Comparative Neurology, 517(6), 
873–891. https://doi.org/10.1002/cne.22194 
Betarbet, R., Sherer, T. B., MacKenzie, G., Garcia-Osuna, M., Panov, A. V., & 
Greenamyre, J. T. (2000). Chronic systemic pesticide exposure reproduces 
features of Parkinson’s disease. Nature Neuroscience, 3(12), 1301–1306. 
https://doi.org/10.1038/81834 
Beutler, E., Beutler, L., & West, C. (2004). Mutations in the gene encoding cytosolic β-
glucosidase in Gaucher disease. Journal of Laboratory and Clinical Medicine, 
144(2), 65–68. https://doi.org/10.1016/j.lab.2004.03.013 
Bezard, E. (2013). Experimental reappraisal of continuous dopaminergic stimulation 
against L‐dopa‐induced dyskinesia. Movement Disorders, 28(8), 1021–1022. 
https://doi.org/10.1002/mds.25251 
Bezard, E., Tronci, E., Pioli, E. Y., Li, Q., Porras, G., Björklund, A., & Carta, M. (2013). 
Study of the antidyskinetic effect of eltoprazine in animal models of levodopa‐
induced dyskinesia. Movement Disorders, 28(8), 1088–1096. 
https://doi.org/10.1002/mds.25366 
Birkmayer, W., & Hornykiewicz, O. (1961). [The L-3,4-dioxyphenylalanine (DOPA)-effect 
in Parkinson-akinesia]. Wiener Klinische Wochenschrift, 73, 787–788. 
Björklund, A., & Lindvall, O. (2017a). Replacing Dopamine Neurons in Parkinson’s 
Disease: How did it happen? In Journal of Parkinson’s Disease (Vol. 7, Issue s1). 
https://doi.org/10.3233/JPD-179002 
Björklund, A., & Lindvall, O. (2017b). Replacing Dopamine Neurons in Parkinson’s 
Disease: How did it happen? Journal of Parkinson’s Disease, 7(s1), S21–S31. 
https://doi.org/10.3233/JPD-179002 
82 
 
Bjorklund, A., Schmidt, R., & Stenevi, U. (1980). Functional reinnervation of the 
neostriatum in the adult rat by use of intraparenchymal grafting of dissociated cell 
suspensions from the substantia nigra. Cell and Tissue Research, 212(1). 
https://doi.org/10.1007/BF00234031 
Bjorklund, A., & Stenevi, U. (1979). Reconstruction of the nigrostriatal dopamine 
pathway by intracerebral nigral transplants. Brain Research, 177(3), 555–560. 
https://doi.org/10.1016/0006-8993(79)90472-4 
Bjorklund, A., & Stenevi, U. (1985). Intracerebral Neural Grafting: A Historical 
Perspective. Neural Grafting in the Mammalian CNS, 3–14. 
Björklund, A., & Stenevi, U. (1971). Growth of central catecholamine neurones into 
smooth muscle grafts in the rat mesencephalon. Brain Research, 31(1), 1–20. 
https://doi.org/10.1016/0006-8993(71)90630-5 
Björklund, A., Stenevi, U., Schmidt, R. H., Dunnett, S. B., & Gage, F. H. (1983). 
Intracerebral grafting of neuronal cell suspensions. I. Introduction and general 
methods of preparation. Acta Physiologica Scandinavica. Supplementum, 522, 1–7. 
Blanchet, P. J., Allard, P., Grégoire, L., Tardif, F., & Bédard, P. J. (1996). Risk Factors 
for Peak Dose Dyskinesia in 100 Levodopa-treated Parkinsonian Patients. 
Canadian Journal of Neurological Sciences / Journal Canadien Des Sciences 
Neurologiques, 23(3), 189–193. https://doi.org/10.1017/S031716710003849X 
Blauwendraat, C., Nalls, M. A., & Singleton, A. B. (2020). The genetic architecture of 
Parkinson’s disease. In The Lancet Neurology (Vol. 19, Issue 2, pp. 170–178). 
Lancet Publishing Group. https://doi.org/10.1016/S1474-4422(19)30287-X 
Bloem, B. R., Okun, M. S., & Klein, C. (2021). Parkinson’s disease. The Lancet, 
397(10291), 2284–2303. https://doi.org/10.1016/S0140-6736(21)00218-X 
Boeve, B. F., Silber, M. H., Saper, C. B., Ferman, T. J., Dickson, D. W., Parisi, J. E., 
Benarroch, E. E., Ahlskog, J. E., Smith, G. E., Caselli, R. C., Tippman-Peikert, M., 
Olson, E. J., Lin, S.-C., Young, T., Wszolek, Z., Schenck, C. H., Mahowald, M. W., 
Castillo, P. R., Del Tredici, K., & Braak, H. (2007). Pathophysiology of REM sleep 
behaviour disorder and relevance to neurodegenerative disease. Brain, 130(11), 
2770–2788. https://doi.org/10.1093/brain/awm056 
Bolam, J. P., Freund, T. F., Bj�rklund, A., Dunnett, S. B., & Smith, A. D. (1987). 
Synaptic input and local output of dopaminergic neurons in grafts that functionally 
reinnervate the host neostriatum. Experimental Brain Research, 68(1). 
https://doi.org/10.1007/BF00255240 
Bonifati, V., Rizzu, P., van Baren, M. J., Schaap, O., Breedveld, G. J., Krieger, E., 
Dekker, M. C. J., Squitieri, F., Ibanez, P., Joosse, M., van Dongen, J. W., 
Vanacore, N., van Swieten, J. C., Brice, A., Meco, G., van Duijn, C. M., Oostra, B. 
A., & Heutink, P. (2003). Mutations in the DJ-1 Gene Associated with Autosomal 
83 
 
Recessive Early-Onset Parkinsonism. Science, 299(5604), 256–259. 
https://doi.org/10.1126/science.1077209 
Borek, L. L., Kohn, R., & Friedman, J. H. (2007). Phenomenology of dreams in 
Parkinson’s disease. Movement Disorders, 22(2), 198–202. 
https://doi.org/10.1002/mds.21255 
Bouyer, J. J., Park, D. H., Joh, T. H., & Pickel, V. M. (1984). Chemical and structural 
analysis of the relation between cortical inputs and tyrosine hydroxylase-containing 
terminals in rat neostriatum. Brain Research, 302(2), 267–275. 
https://doi.org/10.1016/0006-8993(84)90239-7 
Boyson, S., McGonigle, P., & Molinoff, P. (1986). Quantitative autoradiographic 
localization of the D1 and D2 subtypes of dopamine receptors in rat brain. The 
Journal of Neuroscience, 6(11), 3177–3188. 
https://doi.org/10.1523/JNEUROSCI.06-11-03177.1986 
Braak, H., Tredici, K. Del, Rüb, U., de Vos, R. A. ., Jansen Steur, E. N. ., & Braak, E. 
(2003). Staging of brain pathology related to sporadic Parkinson’s disease. 
Neurobiology of Aging, 24(2), 197–211. https://doi.org/10.1016/S0197-
4580(02)00065-9 
Brooks, D. J., Ibanez, V., Sawle, G. V., Quinn, N., Lees, A. J., Mathias, C. J., Bannister, 
R., Marsden, C. D., & Frackowiak, R. S. J. (1990). Differing patterns of striatal 18 F‐
dopa uptake in Parkinson’s disease, multiple system atrophy, and progressive 
supranuclear palsy. Annals of Neurology, 28(4), 547–555. 
https://doi.org/10.1002/ana.410280412 
Brundin, P., Barker, R. A., & Parmar, M. (2010). Neural grafting in Parkinson’s disease 
(pp. 265–294). https://doi.org/10.1016/S0079-6123(10)84014-2 
Brundin, P., & Kordower, J. H. (2012). Neuropathology in transplants in Parkinson’s 
disease (pp. 221–241). https://doi.org/10.1016/B978-0-444-59575-1.00010-7 
Brundin, P., & Melki, R. (2017). Prying into the Prion Hypothesis for Parkinson’s 
Disease. The Journal of Neuroscience, 37(41), 9808–9818. 
https://doi.org/10.1523/JNEUROSCI.1788-16.2017 
Brundin, P., Nilsson, O. G., Strecker, R. E., Lindvall, O., �stedt, B., & Bj�rklund, A. 
(1986). Behavioural effects of human fetal dopamine neurons grafted in a rat model 
of Parkinson’s disease. Experimental Brain Research, 65(1). 
https://doi.org/10.1007/BF00243848 
Brundin, P., Strecker, R. E., Widner, H., Clarke, D. J., Nilsson, O. G., Åstedt, B., 
Lindvall, O., & Björklund, A. (1988). Human fetal dopamine neurons grafted in a rat 
model of Parkinson’s disease: immunological aspects, spontaneous and drug-
induced behaviour, and dopamine release. Experimental Brain Research, 70(1), 
192–208. https://doi.org/10.1007/BF00271860 
84 
 
Buchman, A. S., Shulman, J. M., Nag, S., Leurgans, S. E., Arnold, S. E., Morris, M. C., 
Schneider, J. A., & Bennett, D. A. (2012). Nigral pathology and parkinsonian signs 
in elders without Parkinson disease. Annals of Neurology, 71(2), 258–266. 
https://doi.org/10.1002/ana.22588 
Buchman, A. S., Yu, L., Wilson, R. S., Leurgans, S. E., Nag, S., Shulman, J. M., 
Barnes, L. L., Schneider, J. A., & Bennett, D. A. (2019). Progressive parkinsonism 
in older adults is related to the burden of mixed brain pathologies. Neurology, 
92(16). https://doi.org/10.1212/WNL.0000000000007315 
Buck, S. A., Erickson-Oberg, M. Q., Bhatte, S. H., McKellar, C. D., Ramanathan, V. P., 
Rubin, S. A., & Freyberg, Z. (2022). Roles of VGLUT2 and Dopamine/Glutamate 
Co-Transmission in Selective Vulnerability to Dopamine Neurodegeneration. ACS 
Chemical Neuroscience, 13(2), 187–193. 
https://doi.org/10.1021/acschemneuro.1c00741 
C Trétiakoff. (1921). Contribution à l′étude de l′anatomie du locus niger. Rev Neurol, 37, 
592–608. 
Cai, R., Zhang, Y., Simmering, J. E., Schultz, J. L., Li, Y., Fernandez-Carasa, I., 
Consiglio, A., Raya, A., Polgreen, P. M., Narayanan, N. S., Yuan, Y., Chen, Z., Su, 
W., Han, Y., Zhao, C., Gao, L., Ji, X., Welsh, M. J., & Liu, L. (2019). Enhancing 
glycolysis attenuates Parkinson’s disease progression in models and clinical 
databases. Journal of Clinical Investigation, 129(10), 4539–4549. 
https://doi.org/10.1172/JCI129987 
Calabresi, P., Picconi, B., Tozzi, A., Ghiglieri, V., & Di Filippo, M. (2014). Direct and 
indirect pathways of basal ganglia: a critical reappraisal. Nature Neuroscience, 
17(8), 1022–1030. https://doi.org/10.1038/nn.3743 
Carlsson, A., Lindqvist, M., & Magnusson, T. (1957). 3,4-Dihydroxyphenylalanine and 5-
Hydroxytryptophan as Reserpine Antagonists. Nature, 180(4596), 1200–1200. 
https://doi.org/10.1038/1801200a0 
Carlsson, T., Winkler, C., Lundblad, M., Cenci, M. A., Björklund, A., & Kirik, D. (2006). 
Graft placement and uneven pattern of reinnervation in the striatum is important for 
development of graft-induced dyskinesia. Neurobiology of Disease, 21(3), 657–668. 
https://doi.org/10.1016/j.nbd.2005.09.008 
Carta, M., Carlsson, T., Kirik, D., & Bjorklund, A. (2007). Dopamine released from 5-HT 
terminals is the cause of L-DOPA-induced dyskinesia in parkinsonian rats. Brain, 
130(7), 1819–1833. https://doi.org/10.1093/brain/awm082 
Caulfield, M. E., Manfredsson, F. P., & Steece-Collier, K. (2023). The Role of Striatal 
Cav1.3 Calcium Channels in Therapeutics for Parkinson’s Disease (pp. 107–137). 
https://doi.org/10.1007/164_2022_629 
Caulfield, M. E., Vander Werp, M. J., Stancati, J. A., Collier, T. J., Sortwell, C. E., 
85 
 
Sandoval, I. M., Kordower, J. H., Manfredsson, F. P., & Steece-Collier, K. (2025). 
Advancing age and sex modulate antidyskinetic efficacy of striatal CaV1.3 gene 
therapy in a rat model of Parkinson’s disease. Neurobiology of Aging, 149, 54–66. 
https://doi.org/10.1016/j.neurobiolaging.2025.02.003 
Caulfield, M. E., Vander Werp, M. J., Stancati, J. A., Collier, T. J., Sortwell, C. E., 
Sandoval, I. M., Manfredsson, F. P., & Steece-Collier, K. (2023). Downregulation of 
striatal CaV1.3 inhibits the escalation of levodopa-induced dyskinesia in male and 
female parkinsonian rats of advanced age. Neurobiology of Disease, 181, 106111. 
https://doi.org/10.1016/j.nbd.2023.106111 
Cenci, M. A., Riggare, S., Pahwa, R., Eidelberg, D., & Hauser, R. A. (2020). Dyskinesia 
Matters. Movement Disorders, 35(3), 392–396. https://doi.org/10.1002/mds.27959 
Chakravarthy, V. S., Joseph, D., & Bapi, R. S. (2010). What do the basal ganglia do? A 
modeling perspective. Biological Cybernetics, 103(3), 237–253. 
https://doi.org/10.1007/s00422-010-0401-y 
Chaturvedi, R. K., & Flint Beal, M. (2013). Mitochondrial Diseases of the Brain. Free 
Radical Biology and Medicine, 63, 1–29. 
https://doi.org/10.1016/j.freeradbiomed.2013.03.018 
Chaudhuri, K. R., & Jenner, P. (2017). Two hundred years since James Parkinson’s 
essay on the shaking palsy—Have we made progress? Insights from the James 
Parkinson’s 200 years course held in London, March 2017. Movement Disorders, 
32(9), 1311–1315. https://doi.org/10.1002/mds.27104 
Chen, E. Y., Kallwitz, E., Leff, S. E., Cochran, E. J., Mufson, E. J., Kordower, J. H., & 
Mandel, R. J. (2000). Age-related decreases in GTP-cyclohydrolase-I 
immunoreactive neurons in the monkey and human substantia nigra. The Journal 
of Comparative Neurology, 426(4), 534–548. 
Chen, H., Zhang, S. M., Schwarzschild, M. A., Hernán, M. A., & Ascherio, A. (2005). 
Physical activity and the risk of Parkinson disease. Neurology, 64(4), 664–669. 
https://doi.org/10.1212/01.WNL.0000151960.28687.93 
Chevalier, G., Vacher, S., Deniau, J. M., & Desban, M. (1985). Disinhibition as a basic 
process in the expression of striatal functions. I. The striato-nigral influence on 
tecto-spinal/tecto-diencephalic neurons. Brain Research, 334(2), 215–226. 
https://doi.org/10.1016/0006-8993(85)90213-6 
Chohan, H., Senkevich, K., Patel, R. K., Bestwick, J. P., Jacobs, B. M., Bandres Ciga, 
S., Gan‐Or, Z., & Noyce, A. J. (2021). Type 2 Diabetes as a Determinant of 
Parkinson’s Disease Risk and Progression. Movement Disorders, 36(6), 1420–
1429. https://doi.org/10.1002/mds.28551 
Christine, C. W., Starr, P. A., Larson, P. S., Eberling, J. L., Jagust, W. J., Hawkins, R. 
A., VanBrocklin, H. F., Wright, J. F., Bankiewicz, K. S., & Aminoff, M. J. (2009). 
86 
 
Safety and tolerability of putaminal AADC gene therapy for Parkinson disease. 
Neurology, 73(20), 1662–1669. https://doi.org/10.1212/WNL.0b013e3181c29356 
Chu, Y., Hirst, W. D., Federoff, H. J., Harms, A. S., Stoessl, A. J., & Kordower, J. H. 
(2024). Nigrostriatal tau pathology in parkinsonism and Parkinson’s disease. Brain, 
147(2), 444–457. https://doi.org/10.1093/brain/awad388 
Chu, Y., Kompoliti, K., Cochran, E. J., Mufson, E. J., & Kordower, J. H. (2002). Age‐
related decreases in Nurr1 immunoreactivity in the human substantia nigra. Journal 
of Comparative Neurology, 450(3), 203–214. https://doi.org/10.1002/cne.10261 
Cilia, R., Tunesi, S., Marotta, G., Cereda, E., Siri, C., Tesei, S., Zecchinelli, A. L., 
Canesi, M., Mariani, C. B., Meucci, N., Sacilotto, G., Zini, M., Barichella, M., 
Magnani, C., Duga, S., Asselta, R., Soldà, G., Seresini, A., Seia, M., … Goldwurm, 
S. (2016). Survival and dementia in  GBA  ‐associated Parkinson’s 
disease: T he mutation matters. Annals of Neurology, 80(5), 662–673. 
https://doi.org/10.1002/ana.24777 
Clark, D. L., Boutros, N. N., & Mendez, M. F. (2010). The brain and behavior: an 
introduction to behavioral neuroanatomy. Cambridge university press. 
Clark, W. E. L. G. (1940). NEURONAL DIFFERENTIATION IN IMPLANTED FOETAL 
CORTICAL TISSUE. Journal of Neurology, Neurosurgery & Psychiatry, 3(3), 263–
272. https://doi.org/10.1136/jnnp.3.3.263 
Clarke, D. J., Brundin, P., Strecker, R. E., Nilsson, O. G., Bj�rklund, A., & Lindvall, O. 
(1988). Human fetal dopamine neurons grafted in a rat model of Parkinson’s 
disease: ultrastructural evidence for synapse formation using tyrosine hydroxylase 
immunocytochemistry. Experimental Brain Research, 73(1), 115–126. 
https://doi.org/10.1007/BF00279666 
Cochen, V., Ribeiro, M., Nguyen, J., Gurruchaga, J., Villafane, G., Loc’h, C., Defer, G., 
Samson, Y., Peschanski, M., Hantraye, P., Cesaro, P., & Remy, P. (2003). 
Transplantation in Parkinson’s disease: PET changes correlate with the amount of 
grafted tissue. Movement Disorders, 18(8), 928–932. 
https://doi.org/10.1002/mds.10463 
Collier, T. J., Kanaan, N. M., & Kordower, J. H. (2011). Ageing as a primary risk factor 
for Parkinson’s disease: evidence from studies of non-human primates. Nature 
Reviews Neuroscience, 12(6), 359–366. https://doi.org/10.1038/nrn3039 
Collier, T. J., Kanaan, N. M., & Kordower, J. H. (2017). Aging and Parkinson’s disease: 
Different sides of the same coin? Movement Disorders, 32(7), 983–990. 
https://doi.org/10.1002/mds.27037 
Collier, T. J., Redmond, D. E., Steece-Collier, K., Lipton, J. W., & Manfredsson, F. P. 
(2016). Is Alpha-Synuclein Loss-of-Function a Contributor to Parkinsonian 
Pathology? Evidence from Non-human Primates. Frontiers in Neuroscience, 10. 
87 
 
https://doi.org/10.3389/fnins.2016.00012 
Connolly, B. S., & Lang, A. E. (2014). Pharmacological Treatment of Parkinson 
Disease. JAMA, 311(16), 1670. https://doi.org/10.1001/jama.2014.3654 
Cooper, J. A., Sagar, H. J., Tidswell, P., & Jordan, N. (1994). Slowed central processing 
in simple and go/no-go reaction time tasks in Parkinson’s disease. Brain, 117(3), 
517–529. https://doi.org/10.1093/brain/117.3.517 
Cooper, J. F., Dues, D. J., Spielbauer, K. K., Machiela, E., Senchuk, M. M., & Van 
Raamsdonk, J. M. (2015). Delaying aging is neuroprotective in Parkinson’s 
disease: a genetic analysis in C. elegans models. Npj Parkinson’s Disease, 1(1), 
15022. https://doi.org/10.1038/npjparkd.2015.22 
Corrigan, F. M., Murray, L., Wyatt, C. L., & Shore, R. F. (1998). Diorthosubstituted 
Polychlorinated Biphenyls in Caudate Nucleus in Parkinson’s Disease. 
Experimental Neurology, 150(2), 339–342. https://doi.org/10.1006/exnr.1998.6776 
Cotzias, G. C., Van Woert, M. H., & Schiffer, L. M. (1967). Aromatic Amino Acids and 
Modification of Parkinsonism. New England Journal of Medicine, 276(7), 374–379. 
https://doi.org/10.1056/NEJM196702162760703 
Cragg, S. J., Clarke, D. J., & Greenfield, S. A. (2000). Real-Time Dynamics of 
Dopamine Released from Neuronal Transplants in Experimental Parkinson’s 
Disease. Experimental Neurology, 164(1), 145–153. 
https://doi.org/10.1006/exnr.2000.7420 
Cullinane, P. W., de Pablo Fernandez, E., König, A., Outeiro, T. F., Jaunmuktane, Z., & 
Warner, T. T. (2023). Type 2 Diabetes and Parkinson’s Disease: A Focused 
Review of Current Concepts. Movement Disorders, 38(2), 162–177. 
https://doi.org/10.1002/mds.29298 
Cyranoski, D. (2017). Trials of embryonic stem cells to launch in China. Nature, 
546(7656), 15–16. https://doi.org/10.1038/546015a 
Dahlstrom, M, A., & Fuxe, K. (1964). EVIDENCE FOR THE EXISTENCE OF 
MONOAMINE-CONTAINING NEURONS IN THE CENTRAL NERVOUS SYSTEM. 
I. DEMONSTRATION OF MONOAMINES IN THE CELL BODIES OF BRAIN STEM 
NEURONS. Acta Physiologica Scandinavica. Supplementum, SUPPL 232:1-55. 
Dal Bo, G., St‐Gelais, F., Danik, M., Williams, S., Cotton, M., & Trudeau, L. (2004). 
Dopamine neurons in culture express VGLUT2 explaining their capacity to release 
glutamate at synapses in addition to dopamine. Journal of Neurochemistry, 88(6), 
1398–1405. https://doi.org/10.1046/j.1471-4159.2003.02277.x 
Das, G. D., & Altman, J. (1971). Transplanted Precursors of Nerve Cells: Their Fate in 
the Cerebellums of Young Rats. Science, 173(3997), 637–638. 
https://doi.org/10.1126/science.173.3997.637 
88 
 
Dauer, W., & Przedborski, S. (2003). Parkinson’s Disease. Neuron, 39(6), 889–909. 
https://doi.org/10.1016/S0896-6273(03)00568-3 
Day, J. O., & Mullin, S. (2021). The Genetics of Parkinson’s Disease and Implications 
for Clinical Practice. Genes, 12(7), 1006. https://doi.org/10.3390/genes12071006 
Day, M., Wang, Z., Ding, J., An, X., Ingham, C. A., Shering, A. F., Wokosin, D., Ilijic, E., 
Sun, Z., Sampson, A. R., Mugnaini, E., Deutch, A. Y., Sesack, S. R., Arbuthnott, G. 
W., & Surmeier, D. J. (2006). Selective elimination of glutamatergic synapses on 
striatopallidal neurons in Parkinson disease models. Nature Neuroscience, 9(2), 
251–259. https://doi.org/10.1038/nn1632 
Del Conte, G. (1907). Einpflanzungen von embryonalen Gewebe ins Gehirn. Beitr 
Pathol Anat, 193–202. 
Deliz, J. R., Tanner, C. M., & Gonzalez-Latapi, P. (2024). Epidemiology of Parkinson’s 
Disease: An Update. Current Neurology and Neuroscience Reports, 24(6), 163–
179. https://doi.org/10.1007/s11910-024-01339-w 
DeLong, M. R. (1990). Primate models of movement disorders of basal ganglia origin. 
Trends in Neurosciences, 13(7), 281–285. https://doi.org/10.1016/0166-
2236(90)90110-V 
Deniau, J. M., & Chevalier, G. (1985). Disinhibition as a basic process in the expression 
of striatal functions. II. The striato-nigral influence on thalamocortical cells of the 
ventromedial thalamic nucleus. Brain Research, 334(2), 227–233. 
https://doi.org/10.1016/0006-8993(85)90214-8 
Dhillon, A. S., Tarbutton, G. L., Levin, J. L., Plotkin, G. M., Lowry, L. K., Nalbone, J. T., 
& Shepherd, S. (2008). Pesticide/Environmental Exposures and Parkinson’s 
Disease in East Texas. Journal of Agromedicine, 13(1), 37–48. 
https://doi.org/10.1080/10599240801986215 
di Biase, L., Pecoraro, P. M., Carbone, S. P., Caminiti, M. L., & Di Lazzaro, V. (2023). 
Levodopa-Induced Dyskinesias in Parkinson’s Disease: An Overview on 
Pathophysiology, Clinical Manifestations, Therapy Management Strategies and 
Future Directions. Journal of Clinical Medicine, 12(13), 4427. 
https://doi.org/10.3390/jcm12134427 
Di Monte, D. A., Lavasani, M., & Manning-Bog, A. B. (2002). Environmental Factors in 
Parkinson’s Disease. NeuroToxicology, 23(4–5), 487–502. 
https://doi.org/10.1016/S0161-813X(02)00099-2 
Dickson, D. W. (2012). Parkinson’s Disease and Parkinsonism: Neuropathology. Cold 
Spring Harbor Perspectives in Medicine, 2(8), a009258–a009258. 
https://doi.org/10.1101/cshperspect.a009258 
Dickson, D. W., Uchikado, H., Fujishiro, H., & Tsuboi, Y. (2010). Evidence in favor of 
89 
 
Braak staging of Parkinson’s disease. Movement Disorders, 25(S1). 
https://doi.org/10.1002/mds.22637 
Dijk, J. M., Espay, A. J., Katzenschlager, R., & de Bie, R. M. A. (2020). The Choice 
Between Advanced Therapies for Parkinson’s Disease Patients: Why, What, and 
When? Journal of Parkinson’s Disease, 10(s1), S65–S73. 
https://doi.org/10.3233/JPD-202104 
Doi, D., Samata, B., Katsukawa, M., Kikuchi, T., Morizane, A., Ono, Y., Sekiguchi, K., 
Nakagawa, M., Parmar, M., & Takahashi, J. (2014). Isolation of Human Induced 
Pluripotent Stem Cell-Derived Dopaminergic Progenitors by Cell Sorting for 
Successful Transplantation. Stem Cell Reports, 2(3), 337–350. 
https://doi.org/10.1016/j.stemcr.2014.01.013 
Dorsey, E. R., Elbaz, A., Nichols, E., Abbasi, N., Abd-Allah, F., Abdelalim, A., Adsuar, J. 
C., Ansha, M. G., Brayne, C., Choi, J.-Y. J., Collado-Mateo, D., Dahodwala, N., Do, 
H. P., Edessa, D., Endres, M., Fereshtehnejad, S.-M., Foreman, K. J., Gankpe, F. 
G., Gupta, R., … Murray, C. J. L. (2018). Global, regional, and national burden of 
Parkinson’s disease, 1990–2016: a systematic analysis for the Global Burden of 
Disease Study 2016. The Lancet Neurology, 17(11), 939–953. 
https://doi.org/10.1016/S1474-4422(18)30295-3 
Doucet, G., Brundin, P., Descarries, L., & Björklund, A. (1990). Effect of Prior Dopamine 
Denervation on Survival and Fiber Outgrowth from Intrastriatal Fetal Mesencephalic 
Grafts. European Journal of Neuroscience, 2(4), 279–290. 
https://doi.org/10.1111/j.1460-9568.1990.tb00419.x 
Driver, J. A., Smith, A., Buring, J. E., Gaziano, J. M., Kurth, T., & Logroscino, G. (2008). 
Prospective Cohort Study of Type 2 Diabetes and the Risk of Parkinson’s Disease. 
Diabetes Care, 31(10), 2003–2005. https://doi.org/10.2337/dc08-0688 
Dubé, L., Smith, A. D., & Bolam, J. P. (1988). Identification of synaptic terminals of 
thalamic or cortical origin in contact with distinct medium‐size spiny neurons in the 
rat neostriatum. Journal of Comparative Neurology, 267(4), 455–471. 
https://doi.org/10.1002/cne.902670402 
Duffy, P. E., & Tennyson, V. M. (1965). Phase and electron microscopic observations of 
Lewy bodies and melanin granules in the substantia nigra and locus caeruleus in 
Parkinson’s disease. Journal of Neuropathology & Experimental Neurology, 24(3), 
398–414. 
Dunn, E. H. (1917). Primary and secondary findings in a series of attempts to transplant 
cerebral cortex in the albino rat. Journal of Comparative Neurology, 27(4), 565–
582. https://doi.org/10.1002/cne.900270403 
Dunnett, S. B. (2009). Chapter 55 Neural transplantation (pp. 885–912). 
https://doi.org/10.1016/S0072-9752(08)02155-6 
90 
 
Edouard Brissaud. (1899). Leçons sur les maladies nerveuses. Masson, 2. 
Ehringer, H., & Hornykiewicz, O. (1960). Verteilung Von Noradrenalin Und Dopamin (3-
Hydroxytyramin) Im Gehirn Des Menschen Und Ihr Verhalten Bei Erkrankungen 
Des Extrapyramidalen Systems. Klinische Wochenschrift, 38(24), 1236–1239. 
https://doi.org/10.1007/BF01485901 
El Mestikawy, S., Wallén-Mackenzie, Å., Fortin, G. M., Descarries, L., & Trudeau, L. E. 
(2011). From glutamate co-release to vesicular synergy: Vesicular glutamate 
transporters. In Nature Reviews Neuroscience (Vol. 12, Issue 4). 
https://doi.org/10.1038/nrn2969 
Elkouzi, A., Vedam-Mai, V., Eisinger, R. S., & Okun, M. S. (2019). Emerging therapies 
in Parkinson disease — repurposed drugs and new approaches. Nature Reviews 
Neurology, 15(4), 204–223. https://doi.org/10.1038/s41582-019-0155-7 
Espay, A. J., Brundin, P., & Lang, A. E. (2017). Precision medicine for disease 
modification in Parkinson disease. Nature Reviews Neurology, 13(2), 119–126. 
https://doi.org/10.1038/nrneurol.2016.196 
Espay, A. J., Morgante, F., Merola, A., Fasano, A., Marsili, L., Fox, S. H., Bezard, E., 
Picconi, B., Calabresi, P., & Lang, A. E. (2018). Levodopa‐induced dyskinesia in 
Parkinson disease: Current and evolving concepts. Annals of Neurology, 84(6), 
797–811. https://doi.org/10.1002/ana.25364 
Fabbrini, A., & Guerra, A. (2021). Pathophysiological Mechanisms and Experimental 
Pharmacotherapy for L-Dopa-Induced Dyskinesia. Journal of Experimental 
Pharmacology, Volume 13, 469–485. https://doi.org/10.2147/JEP.S265282 
Fahn, S. (2003). Description of Parkinson’s Disease as a Clinical Syndrome. Annals of 
the New York Academy of Sciences, 991(1), 1–14. https://doi.org/10.1111/j.1749-
6632.2003.tb07458.x 
Fahn, S. (2008). The history of dopamine and levodopa in the treatment of Parkinson’s 
disease. Movement Disorders, 23(S3), S497–S508. 
https://doi.org/10.1002/mds.22028 
Fahn, S. (2015). The medical treatment of Parkinson disease from James Parkinson to 
George Cotzias. Movement Disorders, 30(1), 4–18. 
https://doi.org/10.1002/mds.26102 
Färber, K., Pannasch, U., & Kettenmann, H. (2005). Dopamine and noradrenaline 
control distinct functions in rodent microglial cells. Molecular and Cellular 
Neuroscience, 29(1), 128–138. https://doi.org/10.1016/j.mcn.2005.01.003 
Fasano, A., Daniele, A., & Albanese, A. (2012). Treatment of motor and non-motor 
features of Parkinson’s disease with deep brain stimulation. The Lancet Neurology, 
11(5), 429–442. https://doi.org/10.1016/S1474-4422(12)70049-2 
91 
 
Fearnley, J. M., & Lees, A. J. (1991). AGEING AND PARKINSON’S DISEASE: 
SUBSTANTIA NIGRA REGIONAL SELECTIVITY. Brain, 114(5), 2283–2301. 
https://doi.org/10.1093/brain/114.5.2283 
FEARNLEY, J. M., & LEES, A. J. (1991). AGEING AND PARKINSON’S DISEASE: 
SUBSTANTIA NIGRA REGIONAL SELECTIVITY. Brain, 114(5), 2283–2301. 
https://doi.org/10.1093/brain/114.5.2283 
Fields, C. R., Bengoa-Vergniory, N., & Wade-Martins, R. (2019). Targeting Alpha-
Synuclein as a Therapy for Parkinson’s Disease. Frontiers in Molecular 
Neuroscience, 12. https://doi.org/10.3389/fnmol.2019.00299 
Foix, C. . & N. J. (1925). Cerebral anatomy: the central gray nuclei and the 
mesencephalo-suboptic region, followed by an appendix on the pathological 
anatomy of Parkinson’s disease . Masson et Cie. 
Follett, K. A., Weaver, F. M., Stern, M., Hur, K., Harris, C. L., Luo, P., Marks, W. J., 
Rothlind, J., Sagher, O., Moy, C., Pahwa, R., Burchiel, K., Hogarth, P., Lai, E. C., 
Duda, J. E., Holloway, K., Samii, A., Horn, S., Bronstein, J. M., … Reda, D. J. 
(2010). Pallidal versus Subthalamic Deep-Brain Stimulation for Parkinson’s 
Disease. New England Journal of Medicine, 362(22), 2077–2091. 
https://doi.org/10.1056/NEJMoa0907083 
Forno, L. S. (1969). CONCENTRIC HYALIN INTRANEURONAL INCLUSIONS OF 
LEWY TYPE IN THE BRAINS OF ELDERLY PERSONS (50 INCIDENTAL 
CASES): RELATIONSHIP TO PARKINSONISM. Journal of the American Geriatrics 
Society, 17(6), 557–575. https://doi.org/10.1111/j.1532-5415.1969.tb01316.x 
Fortin, G. M., Ducrot, C., Giguère, N., Kouwenhoven, W. M., Bourque, M.-J., Pacelli, C., 
Varaschin, R. K., Brill, M., Singh, S., Wiseman, P. W., & Trudeau, L.-É. (2019). 
Segregation of dopamine and glutamate release sites in dopamine neuron axons: 
regulation by striatal target cells. The FASEB Journal, 33(1), 400–417. 
https://doi.org/10.1096/fj.201800713RR 
Fox, S. H., Katzenschlager, R., Lim, S., Barton, B., de Bie, R. M. A., Seppi, K., Coelho, 
M., & Sampaio, C. (2018). International Parkinson and movement disorder society 
evidence‐based medicine review: Update on treatments for the motor symptoms of 
Parkinson’s disease. Movement Disorders, 33(8), 1248–1266. 
https://doi.org/10.1002/mds.27372 
Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R., Dillon, 
S., Winfield, H., Culver, S., Trojanowski, J. Q., Eidelberg, D., & Fahn, S. (2001). 
Transplantation of Embryonic Dopamine Neurons for Severe Parkinson’s Disease. 
New England Journal of Medicine, 344(10). 
https://doi.org/10.1056/nejm200103083441002 
Freeman, T. B., Olanow, C. W., Hauser, R. A., Nauert, G. M., Smith, D. A., Borlongan, 
C. V., Sanberg, P. R., Holt, D. A., Kordower, J. H., Vingerhoets, F. J. G., Snow, B. 
92 
 
J., Calne, D., & Gauger, L. L. (1995). Bilateral fetal nigral transplantation into the 
postcommissural putamen in Parkinson’s disease. Annals of Neurology, 38(3), 
379–388. https://doi.org/10.1002/ana.410380307 
Freeman, T. B., & Widner, H. (1998). Toward Reconstruction of the Human Central 
Nervous System. Humana Press. 
Freund, T., Bolam, J., Bjorklund, A., Stenevi, U., Dunnett, S., Powell, J., & Smith, A. 
(1985). Efferent synaptic connections of grafted dopaminergic neurons 
reinnervating the host neostriatum: a tyrosine hydroxylase immunocytochemical 
study. The Journal of Neuroscience, 5(3), 603–616. 
https://doi.org/10.1523/JNEUROSCI.05-03-00603.1985 
Freund, T. F., Powell, J. F., & Smith, A. D. (1984). Tyrosine hydroxylase-
immunoreactive boutons in synaptic contact with identified striatonigral neurons, 
with particular reference to dendritic spines. Neuroscience, 13(4), 1189–1215. 
https://doi.org/10.1016/0306-4522(84)90294-X 
Frigerio, R., Fujishiro, H., Ahn, T.-B., Josephs, K. A., Maraganore, D. M., DelleDonne, 
A., Parisi, J. E., Klos, K. J., Boeve, B. F., Dickson, D. W., & Ahlskog, J. E. (2011). 
Incidental Lewy body disease: do some cases represent a preclinical stage of 
dementia with Lewy bodies? Neurobiology of Aging, 32(5), 857–863. 
https://doi.org/10.1016/j.neurobiolaging.2009.05.019 
Fujishiro, H., Tsuboi, Y., Lin, W.-L., Uchikado, H., & Dickson, D. W. (2008). Co-
localization of tau and α-synuclein in the olfactory bulb in Alzheimer’s disease with 
amygdala Lewy bodies. Acta Neuropathologica, 116(1), 17–24. 
https://doi.org/10.1007/s00401-008-0383-1 
Galloway, P. G., Mulvihill, P., & Perry, G. (1992). Filaments of Lewy bodies contain 
insoluble cytoskeletal elements. The American Journal of Pathology, 140(4), 809–
822. 
Gan-Or, Z., Giladi, N., Rozovski, U., Shifrin, C., Rosner, S., Gurevich, T., Bar-Shira, A., 
& Orr-Urtreger, A. (2008). Genotype-phenotype correlations between GBA 
mutations and Parkinson disease risk and onset. Neurology, 70(24), 2277–2283. 
https://doi.org/10.1212/01.wnl.0000304039.11891.29 
García, J., Carlsson, T., Döbrössy, M., Nikkhah, G., & Winkler, C. (2011). Extent of pre-
operative L-DOPA-induced dyskinesia predicts the severity of graft-induced 
dyskinesia after fetal dopamine cell transplantation. Experimental Neurology, 
232(2), 270–279. https://doi.org/10.1016/j.expneurol.2011.09.017 
García, J., Carlsson, T., Döbrössy, M., Nikkhah, G., & Winkler, C. (2012). Impact of 
dopamine versus serotonin cell transplantation for the development of graft-induced 
dyskinesia in a rat Parkinson model. Brain Research, 1470, 119–129. 
https://doi.org/10.1016/j.brainres.2012.06.029 
93 
 
Gasser, T. (2015). Usefulness of Genetic Testing in PD and PD Trials: A Balanced 
Review. Journal of Parkinson’s Disease, 5(2), 209–215. 
https://doi.org/10.3233/JPD-140507 
Gaugler, M. N., Genc, O., Bobela, W., Mohanna, S., Ardah, M. T., El-Agnaf, O. M., 
Cantoni, M., Bensadoun, J.-C., Schneggenburger, R., Knott, G. W., Aebischer, P., 
& Schneider, B. L. (2012). Nigrostriatal overabundance of α-synuclein leads to 
decreased vesicle density and deficits in dopamine release that correlate with 
reduced motor activity. Acta Neuropathologica, 123(5), 653–669. 
https://doi.org/10.1007/s00401-012-0963-y 
Gerfen, C. R., & Bolam, J. P. (2010). The Neuroanatomical Organization of the Basal 
Ganglia. Handbook of Behavioral Neuroscience, 20, 3–28. 
Gerfen, C. R., & Surmeier, D. J. (2011). Modulation of Striatal Projection Systems by 
Dopamine. Annual Review of Neuroscience, 34(1), 441–466. 
https://doi.org/10.1146/annurev-neuro-061010-113641 
Gerfen, C. R., & Wilson, C. J. (1996). Chapter II The basal ganglia (pp. 371–468). 
https://doi.org/10.1016/S0924-8196(96)80004-2 
Gibb, W. R., & Lees, A. J. (1988). The relevance of the Lewy body to the pathogenesis 
of idiopathic Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 
51(6), 745–752. https://doi.org/10.1136/jnnp.51.6.745 
Giovannoni, G., van Schalkwyk, J., Fritz, V. U., & Lees, A. J. (1999). Bradykinesia 
akinesia inco-ordination test (BRAIN TEST): an objective computerised assessment 
of upper limb motor function. Journal of Neurology, Neurosurgery & Psychiatry, 
67(5), 624–629. https://doi.org/10.1136/jnnp.67.5.624 
Gjerstad, M. D., Wentzel-Larsen, T., Aarsland, D., & Larsen, J. P. (2006). Insomnia in 
Parkinson’s disease: frequency and progression over time. Journal of Neurology, 
Neurosurgery & Psychiatry, 78(5), 476–479. 
https://doi.org/10.1136/jnnp.2006.100370 
Goetz, C. G. (2011). The History of Parkinson’s Disease: Early Clinical Descriptions and 
Neurological Therapies. Cold Spring Harbor Perspectives in Medicine, 1(1), 
a008862–a008862. https://doi.org/10.1101/cshperspect.a008862 
Goetz, C. G., Stebbins, G. T., Klawans, H. L., Koller, W. C., Grossman, R. G., Bakay, R. 
A. E., & Penn, R. D. (1991). United Parkinson Foundation Neurotransplantation 
Registry on adrenal medullary transplants. Neurology, 41(11), 1719–1719. 
https://doi.org/10.1212/WNL.41.11.1719 
Gorbatyuk, O. S., Li, S., Nash, K., Gorbatyuk, M., Lewin, A. S., Sullivan, L. F., Mandel, 
R. J., Chen, W., Meyers, C., Manfredsson, F. P., & Muzyczka, N. (2010). In Vivo 
RNAi-Mediated α-Synuclein Silencing Induces Nigrostriatal Degeneration. 
Molecular Therapy, 18(8), 1450–1457. https://doi.org/10.1038/mt.2010.115 
94 
 
Gorell, J. M., Johnson, C. C., Rybicki, B. A., Peterson, E. L., & Richardson, R. J. (1998). 
The risk of Parkinson’s disease with exposure to pesticides, farming, well water, 
and rural living. Neurology, 50(5), 1346–1350. 
https://doi.org/10.1212/WNL.50.5.1346 
Gowers, W. R. (1898). A manual of diseases of the nervous system. P. Blakiston, Son & 
Company, 2. 
Grabli, D., Karachi, C., Folgoas, E., Monfort, M., Tande, D., Clark, S., Civelli, O., Hirsch, 
E. C., & Francois, C. (2013). Gait Disorders in Parkinsonian Monkeys with 
Pedunculopontine Nucleus Lesions: A Tale of Two Systems. Journal of 
Neuroscience, 33(29), 11986–11993. https://doi.org/10.1523/JNEUROSCI.1568-
13.2013 
Grace, A. A. (1991). Phasic versus tonic dopamine release and the modulation of 
dopamine system responsivity: A hypothesis for the etiology of schizophrenia. 
Neuroscience, 41(1), 1–24. https://doi.org/10.1016/0306-4522(91)90196-U 
Grace, A., & Bunney, B. (1984). The control of firing pattern in nigral dopamine neurons: 
burst firing. The Journal of Neuroscience, 4(11), 2877–2890. 
https://doi.org/10.1523/JNEUROSCI.04-11-02877.1984 
Gras, C., Amilhon, B., Lepicard, È. M., Poirel, O., Vinatier, J., Herbin, M., Dumas, S., 
Tzavara, E. T., Wade, M. R., Nomikos, G. G., Hanoun, N., Saurini, F., Kemel, M.-L., 
Gasnier, B., Giros, B., & Mestikawy, S. El. (2008). The vesicular glutamate 
transporter VGLUT3 synergizes striatal acetylcholine tone. Nature Neuroscience, 
11(3), 292–300. https://doi.org/10.1038/nn2052 
Grealish, S., Diguet, E., Kirkeby, A., Mattsson, B., Heuer, A., Bramoulle, Y., Van Camp, 
N., Perrier, A. L., Hantraye, P., Björklund, A., & Parmar, M. (2014). Human ESC-
Derived Dopamine Neurons Show Similar Preclinical Efficacy and Potency to Fetal 
Neurons when Grafted in a Rat Model of Parkinson’s Disease. Cell Stem Cell, 
15(5), 653–665. https://doi.org/10.1016/j.stem.2014.09.017 
Greenfield, J. G., & Bosanquet, F. D. (1953). THE BRAIN-STEM LESIONS IN 
PARKINSONISM. Journal of Neurology, Neurosurgery & Psychiatry, 16(4), 213–
226. https://doi.org/10.1136/jnnp.16.4.213 
Gubellini, P., Picconi, B., Bari, M., Battista, N., Calabresi, P., Centonze, D., Bernardi, 
G., Finazzi-Agrò, A., & Maccarrone, M. (2002). Experimental parkinsonism alters 
endocannabinoid degradation: implications for striatal glutamatergic transmission. 
The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 
22(16), 6900–6907. https://doi.org/10.1523/JNEUROSCI.22-16-06900.2002 
Hagell, P., & Cenci, M. A. (2005). Dyskinesias and dopamine cell replacement in 
Parkinson’s disease: A clinical perspective. Brain Research Bulletin, 68(1–2). 
https://doi.org/10.1016/j.brainresbull.2004.10.013 
95 
 
Hagell, P., Piccini, P., Björklund, A., Brundin, P., Rehncrona, S., Widner, H., Crabb, L., 
Pavese, N., Oertel, W. H., Quinn, N., Brooks, D. J., & Lindvall, O. (2002a). 
Dyskinesias following neural transplantation in parkinson’s disease. Nature 
Neuroscience, 5(7). https://doi.org/10.1038/nn863 
Hagell, P., Piccini, P., Björklund, A., Brundin, P., Rehncrona, S., Widner, H., Crabb, L., 
Pavese, N., Oertel, W. H., Quinn, N., Brooks, D. J., & Lindvall, O. (2002b). 
Dyskinesias following neural transplantation in Parkinson’s disease. Nature 
Neuroscience, 5(7), 627–628. https://doi.org/10.1038/nn863 
Hallett, P. J., Cooper, O., Sadi, D., Robertson, H., Mendez, I., & Isacson, O. (2014). 
Long-Term Health of Dopaminergic Neuron Transplants in Parkinson’s Disease 
Patients. Cell Reports, 7(6), 1755–1761. 
https://doi.org/10.1016/j.celrep.2014.05.027 
Halliday, G., Hely, M., Reid, W., & Morris, J. (2008). The progression of pathology in 
longitudinally followed patients with Parkinson’s disease. Acta Neuropathologica, 
115(4), 409–415. https://doi.org/10.1007/s00401-008-0344-8 
Hansen, C., Angot, E., Bergström, A.-L., Steiner, J. A., Pieri, L., Paul, G., Outeiro, T. F., 
Melki, R., Kallunki, P., Fog, K., Li, J.-Y., & Brundin, P. (2011). α-Synuclein 
propagates from mouse brain to grafted dopaminergic neurons and seeds 
aggregation in cultured human cells. Journal of Clinical Investigation, 121(2), 715–
725. https://doi.org/10.1172/JCI43366 
Hargus, G., Cooper, O., Deleidi, M., Levy, A., Lee, K., Marlow, E., Yow, A., Soldner, F., 
Hockemeyer, D., Hallett, P. J., Osborn, T., Jaenisch, R., & Isacson, O. (2010). 
Differentiated Parkinson patient-derived induced pluripotent stem cells grow in the 
adult rodent brain and reduce motor asymmetry in Parkinsonian rats. Proceedings 
of the National Academy of Sciences, 107(36), 15921–15926. 
https://doi.org/10.1073/pnas.1010209107 
Harkavyi, A., Abuirmeileh, A., Lever, R., Kingsbury, A. E., Biggs, C. S., & Whitton, P. S. 
(2008). Glucagon-like peptide 1 receptor stimulation reverses key deficits in distinct 
rodent models of Parkinson’s disease. Journal of Neuroinflammation, 5(1), 19. 
https://doi.org/10.1186/1742-2094-5-19 
Hatcher, J. M., Richardson, J. R., Guillot, T. S., McCormack, A. L., Di Monte, D. A., 
Jones, D. P., Pennell, K. D., & Miller, G. W. (2007). Dieldrin exposure induces 
oxidative damage in the mouse nigrostriatal dopamine system. Experimental 
Neurology, 204(2), 619–630. https://doi.org/10.1016/j.expneurol.2006.12.020 
Hattori, T., McGeer, E. G., & McGeer, P. L. (1979). Fine structural analysis of the 
cortico‐striatal pathway. Journal of Comparative Neurology, 185(2), 347–353. 
https://doi.org/10.1002/cne.901850208 
Hauser, R. A., Auinger, P., & Oakes, D. (2009). Levodopa response in early Parkinson’s 
disease. Movement Disorders, 24(16), 2328–2336. 
96 
 
https://doi.org/10.1002/mds.22759 
Hauser, R. A., Pahwa, R., Tanner, C. M., Oertel, W., Isaacson, S. H., Johnson, R., Felt, 
L., & Stempien, M. J. (2017). ADS-5102 (Amantadine) Extended-Release Capsules 
for Levodopa-Induced Dyskinesia in Parkinson’s Disease (EASE LID 2 Study): 
Interim Results of an Open-Label Safety Study. Journal of Parkinson’s Disease, 
7(3), 511–522. https://doi.org/10.3233/JPD-171134 
Healy, D. G., Falchi, M., O’Sullivan, S. S., Bonifati, V., Durr, A., Bressman, S., Brice, A., 
Aasly, J., Zabetian, C. P., Goldwurm, S., Ferreira, J. J., Tolosa, E., Kay, D. M., 
Klein, C., Williams, D. R., Marras, C., Lang, A. E., Wszolek, Z. K., Berciano, J., … 
Wood, N. W. (2008). Phenotype, genotype, and worldwide genetic penetrance of 
LRRK2-associated Parkinson’s disease: a case-control study. The Lancet 
Neurology, 7(7), 583–590. https://doi.org/10.1016/S1474-4422(08)70117-0 
Heinz, G. H., Hill, E. F., & Contrera, J. F. (1980). Dopamine and norepinephrine 
depletion in ring doves fed DDE, dieldrin, and Aroclor 1254. Toxicology and Applied 
Pharmacology, 53(1), 75–82. https://doi.org/10.1016/0041-008X(80)90383-X 
Hely, M. A., Morris, J. G. L., Reid, W. G. J., & Trafficante, R. (2005). Sydney multicenter 
study of Parkinson’s disease: Non‐ L ‐dopa–responsive problems 
dominate at 15 years. Movement Disorders, 20(2), 190–199. 
https://doi.org/10.1002/mds.20324 
Hill, W. D., Lee, V. M., Hurtig, H. I., Murray, J. M., & Trojanowski, J. Q. (1991). Epitopes 
located in spatially separate domains of each neurofilament subunit are present in 
Parkinson’s disease Lewy bodies. Journal of Comparative Neurology, 309(1), 150–
160. 
Hnasko, T. S., Chuhma, N., Zhang, H., Goh, G. Y., Sulzer, D., Palmiter, R. D., Rayport, 
S., & Edwards, R. H. (2010). Vesicular Glutamate Transport Promotes Dopamine 
Storage and Glutamate Corelease In Vivo. Neuron, 65(5), 643–656. 
https://doi.org/10.1016/j.neuron.2010.02.012 
Hornykiewicz, O. (2010). A brief history of levodopa. Journal of Neurology, 257(S2), 
249–252. https://doi.org/10.1007/s00415-010-5741-y 
Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., & Bohr, V. A. 
(2019). Ageing as a risk factor for neurodegenerative disease. Nature Reviews 
Neurology, 15(10), 565–581. https://doi.org/10.1038/s41582-019-0244-7 
Hruska, K. S., LaMarca, M. E., Scott, C. R., & Sidransky, E. (2008). Gaucher disease: 
mutation and polymorphism spectrum in the glucocerebrosidase gene (GBA). 
Human Mutation, 29(5), 567–583. https://doi.org/10.1002/humu.20676 
Hu, G., Jousilahti, P., Bidel, S., Antikainen, R., & Tuomilehto, J. (2007). Type 2 Diabetes 
and the Risk of Parkinson’s Disease. Diabetes Care, 30(4), 842–847. 
https://doi.org/10.2337/dc06-2011 
97 
 
Hudson, J. L., Hoffman, A., Strömberg, I., Hoffer, B. J., & Moorhead, J. W. (1994). 
Allogeneic grafts of fetal dopamine neurons: Behavioral indices of immunological 
interactions. Neuroscience Letters, 171(1–2), 32–36. https://doi.org/10.1016/0304-
3940(94)90597-5 
Hughes, A. J., Daniel, S. E., Kilford, L., & Lees, A. J. (1992). Accuracy of clinical 
diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 
cases. Journal of Neurology, Neurosurgery & Psychiatry, 55(3), 181–184. 
https://doi.org/10.1136/jnnp.55.3.181 
Hung, S. W., Adeli, G. M., Arenovich, T., Fox, S. H., & Lang, A. E. (2010). Patient 
perception of dyskinesia in Parkinson’s disease. Journal of Neurology, 
Neurosurgery & Psychiatry, 81(10), 1112–1115. 
https://doi.org/10.1136/jnnp.2009.173286 
Huot, P., Johnston, T. H., Koprich, J. B., Fox, S. H., & Brotchie, J. M. (2013). The 
Pharmacology of l-DOPA-Induced Dyskinesia in Parkinson’s Disease. 
Pharmacological Reviews, 65(1), 171–222. https://doi.org/10.1124/pr.111.005678 
Huot, P., Kang, W., Kim, E., Bédard, D., Belliveau, S., Frouni, I., & Kwan, C. (2022). 
Levodopa-induced Dyskinesia: A Brief Review of the Ongoing Clinical Trials. 
Neurodegenerative Disease Management, 12(2), 51–55. 
https://doi.org/10.2217/nmt-2021-0051 
Ingham, C. A., Hood, S. H., & Arbuthnott, G. W. (1989). Spine density on neostriatal 
neurones changes with 6-hydroxydopamine lesions and with age. Brain Research, 
503(2), 334–338. https://doi.org/10.1016/0006-8993(89)91686-7 
Ingham, C. A., Hood, S. H., Taggart, P., & Arbuthnott, G. W. (1998). Plasticity of 
Synapses in the Rat Neostriatum after Unilateral Lesion of the Nigrostriatal 
Dopaminergic Pathway. The Journal of Neuroscience, 18(12), 4732–4743. 
https://doi.org/10.1523/JNEUROSCI.18-12-04732.1998 
Ingham, C. A., Hood, S. H., van Maldegem, B., Weenink, A., & Arbuthnott, G. W. 
(1993). Morphological changes in the rat neostriatum after unilateral 6-
hydroxydopamine injections into the nigrostriatal pathway. Experimental Brain 
Research, 93(1), 17–27. https://doi.org/10.1007/BF00227776 
Iravani, M. M., Syed, E., Jackson, M. J., Johnston, L. C., Smith, L. A., & Jenner, P. 
(2005). A modified MPTP treatment regime produces reproducible partial 
nigrostriatal lesions in common marmosets. European Journal of Neuroscience, 
21(4), 841–854. https://doi.org/10.1111/j.1460-9568.2005.03915.x 
Iwai, A., Masliah, E., Yoshimoto, M., Ge, N., Flanagan, L., De Silva, H. A. R., Kittel, A., 
& Saitoh, T. (1995). The precursor protein of non-Aβ component of Alzheimer’s 
disease amyloid is a presynaptic protein of the central nervous system. Neuron, 
14(2), 467–475. 
98 
 
Jafari, S., Etminan, M., Aminzadeh, F., & Samii, A. (2013). Head injury and risk of 
Parkinson disease: A systematic review and meta‐analysis. Movement Disorders, 
28(9), 1222–1229. https://doi.org/10.1002/mds.25458 
Jakes, R., Spillantini, M. G., & Goedert, M. (1994). Identification of two distinct 
synucleins from human brain. FEBS Letters, 345(1), 27–32. 
https://doi.org/10.1016/0014-5793(94)00395-5 
Jankovic, J. (2008). Parkinson’s disease: clinical features and diagnosis. Journal of 
Neurology, Neurosurgery & Psychiatry, 79(4), 368–376. 
https://doi.org/10.1136/jnnp.2007.131045 
Jankovic, J., Goodman, I., Safirstein, B., Marmon, T. K., Schenk, D. B., Koller, M., Zago, 
W., Ness, D. K., Griffith, S. G., Grundman, M., Soto, J., Ostrowitzki, S., Boess, F. 
G., Martin-Facklam, M., Quinn, J. F., Isaacson, S. H., Omidvar, O., Ellenbogen, A., 
& Kinney, G. G. (2018). Safety and Tolerability of Multiple Ascending Doses of 
PRX002/RG7935, an Anti–α-Synuclein Monoclonal Antibody, in Patients With 
Parkinson Disease. JAMA Neurology, 75(10), 1206. 
https://doi.org/10.1001/jamaneurol.2018.1487 
Jankovic, J., & Tolosa, E. (2007). Parkinson’s disease and movement disorders. 
Lippincott Williams & Wilkins. 
Jean-Martin Charcot. (1892). Lessons on diseases of the nervous system. Bureau of 
Medical Progress, 1. 
Jenner, K. S. P. M. P., & Olanow, C. W. (2007). Protein Mishandling. Parkinson’s 
Disease and Movement Disorders, 33. 
Jenner, P. (2008). Molecular mechanisms of L-DOPA-induced dyskinesia. Nature 
Reviews Neuroscience, 9(9), 665–677. https://doi.org/10.1038/nrn2471 
Kalia, S. K., Sankar, T., & Lozano, A. M. (2013). Deep brain stimulation for Parkinsonʼs 
disease and other movement disorders. Current Opinion in Neurology, 26(4), 374–
380. https://doi.org/10.1097/WCO.0b013e3283632d08 
Kalia, L. V., Lang, A. E., Hazrati, L.-N., Fujioka, S., Wszolek, Z. K., Dickson, D. W., 
Ross, O. A., Van Deerlin, V. M., Trojanowski, J. Q., Hurtig, H. I., Alcalay, R. N., 
Marder, K. S., Clark, L. N., Gaig, C., Tolosa, E., Ruiz-Martínez, J., Marti-Masso, J. 
F., Ferrer, I., López de Munain, A., … Marras, C. (2015). Clinical Correlations With 
Lewy Body Pathology in LRRK2 -Related Parkinson Disease. JAMA Neurology, 
72(1), 100. https://doi.org/10.1001/jamaneurol.2014.2704 
Kalia, L. V, & Lang, A. E. (2015). Parkinson’s disease. The Lancet, 386(9996), 896–
912. https://doi.org/10.1016/S0140-6736(14)61393-3 
Kanthasamy, A. G., Kitazawa, M., Kanthasamy, A., & Anantharam, V. (2005). Dieldrin-
Induced Neurotoxicity: Relevance to Parkinson’s Disease Pathogenesis. 
99 
 
NeuroToxicology, 26(4), 701–719. https://doi.org/10.1016/j.neuro.2004.07.010 
Kasten, M., Hartmann, C., Hampf, J., Schaake, S., Westenberger, A., Vollstedt, E., 
Balck, A., Domingo, A., Vulinovic, F., Dulovic, M., Zorn, I., Madoev, H., Zehnle, H., 
Lembeck, C. M., Schawe, L., Reginold, J., Huang, J., König, I. R., Bertram, L., … 
Klein, C. (2018). Genotype‐Phenotype Relations for the Parkinson’s Disease 
Genes Parkin , PINK1 , DJ1: MDSGene Systematic Review. Movement Disorders, 
33(5), 730–741. https://doi.org/10.1002/mds.27352 
Kenborg, L., Rugbjerg, K., Lee, P.-C., Ravnskjær, L., Christensen, J., Ritz, B., & 
Lassen, C. F. (2015). Head injury and risk for Parkinson disease: results from a 
Danish case-control study. Neurology, 84(11), 1098–1103. 
https://doi.org/10.1212/WNL.0000000000001362 
Khlebtovsky, A., Rigbi, A., Melamed, E., Ziv, I., Steiner, I., Gad, A., & Djaldetti, R. 
(2012). Patient and caregiver perceptions of the social impact of advanced 
Parkinson’s disease and dyskinesias. Journal of Neural Transmission, 119(11), 
1367–1371. https://doi.org/10.1007/s00702-012-0796-9 
Kikuchi, T., Morizane, A., Doi, D., Magotani, H., Onoe, H., Hayashi, T., Mizuma, H., 
Takara, S., Takahashi, R., Inoue, H., Morita, S., Yamamoto, M., Okita, K., 
Nakagawa, M., Parmar, M., & Takahashi, J. (2017). Human iPS cell-derived 
dopaminergic neurons function in a primate Parkinson’s disease model. Nature, 
548(7669), 592–596. https://doi.org/10.1038/nature23664 
Kikuchi, T., Morizane, A., Doi, D., Onoe, H., Hayashi, T., Kawasaki, T., Saiki, H., 
Miyamoto, S., & Takahashi, J. (2011). Survival of Human Induced Pluripotent Stem 
Cell–Derived Midbrain Dopaminergic Neurons in the Brain of a Primate Model of 
Parkinson’s Disease. Journal of Parkinson’s Disease, 1(4), 395–412. 
https://doi.org/10.3233/JPD-2011-11070 
Kilarski, L. L., Pearson, J. P., Newsway, V., Majounie, E., Knipe, M. D. W., 
Misbahuddin, A., Chinnery, P. F., Burn, D. J., Clarke, C. E., Marion, M., Lewthwaite, 
A. J., Nicholl, D. J., Wood, N. W., Morrison, K. E., Williams‐Gray, C. H., Evans, J. 
R., Sawcer, S. J., Barker, R. A., Wickremaratchi, M. M., … Morris, H. R. (2012). 
Systematic Review and UK‐Based Study of PARK2 (parkin), PINK1, PARK7 (DJ‐1) 
and LRRK2 in early‐onset Parkinson’s disease. Movement Disorders, 27(12), 
1522–1529. https://doi.org/10.1002/mds.25132 
Kim, R. H., Smith, P. D., Aleyasin, H., Hayley, S., Mount, M. P., Pownall, S., Wakeham, 
A., You-Ten, A. J., Kalia, S. K., Horne, P., Westaway, D., Lozano, A. M., Anisman, 
H., Park, D. S., & Mak, T. W. (2005). Hypersensitivity of DJ-1-deficient mice to 1-
methyl-4-phenyl-1,2,3,6-tetrahydropyrindine (MPTP) and oxidative stress. 
Proceedings of the National Academy of Sciences, 102(14), 5215–5220. 
https://doi.org/10.1073/pnas.0501282102 
Kirik, D., Winkler, C., & Björklund, A. (2001). Growth and Functional Efficacy of 
100 
 
Intrastriatal Nigral Transplants Depend on the Extent of Nigrostriatal Degeneration. 
The Journal of Neuroscience, 21(8), 2889–2896. 
https://doi.org/10.1523/JNEUROSCI.21-08-02889.2001 
Kirkeby, A., Grealish, S., Wolf, D. A., Nelander, J., Wood, J., Lundblad, M., Lindvall, O., 
& Parmar, M. (2012). Generation of Regionally Specified Neural Progenitors and 
Functional Neurons from Human Embryonic Stem Cells under Defined Conditions. 
Cell Reports, 1(6), 703–714. https://doi.org/10.1016/j.celrep.2012.04.009 
Kish, S. J., Shannak, K., & Hornykiewicz, O. (1988). Uneven Pattern of Dopamine Loss 
in the Striatum of Patients with Idiopathic Parkinson’s Disease. New England 
Journal of Medicine, 318(14), 876–880. 
https://doi.org/10.1056/NEJM198804073181402 
Kish, S. J., Shannak, K., Rajput, A., Deck, J. H. N., & Hornykiewicz, O. (1992). Aging 
Produces a Specific Pattern of Striatal Dopamine Loss: Implications for the Etiology 
of Idiopathic Parkinson’s Disease. Journal of Neurochemistry, 58(2), 642–648. 
https://doi.org/10.1111/j.1471-4159.1992.tb09766.x 
Kitada, T., Asakawa, S., Hattori, N., Matsumine, H., Yamamura, Y., Minoshima, S., 
Yokochi, M., Mizuno, Y., & Shimizu, N. (1998). Mutations in the parkin gene cause 
autosomal recessive juvenile parkinsonism. Nature, 392(6676), 605–608. 
https://doi.org/10.1038/33416 
Kitazawa, M., Anantharam, V., & Kanthasamy, A. G. (2003). Dieldrin induces apoptosis 
by promoting caspase-3-dependent proteolytic cleavage of protein kinase Cδ in 
dopaminergic cells: relevance to oxidative stress and dopaminergic degeneration. 
Neuroscience, 119(4), 945–964. https://doi.org/10.1016/S0306-4522(03)00226-4 
Kleiner‐Fisman, G., Fisman, D. N., Zamir, O., Dostrovsky, J. O., Sime, E., Saint‐Cyr, J. 
A., Lozano, A. M., & Lang, A. E. (2004). Subthalamic nucleus deep brain 
stimulation for parkinson’s disease after successful pallidotomy: Clinical and 
electrophysiological observations. Movement Disorders, 19(10), 1209–1214. 
https://doi.org/10.1002/mds.20151 
Konitsiotis, S., Blanchet, P. J., Verhagen, L., Lamers, E., & Chase, T. N. (2000). AMPA 
receptor blockade improves levodopa-induced dyskinesia in MPTP monkeys. 
Neurology, 54(8), 1589–1595. https://doi.org/10.1212/WNL.54.8.1589 
Kordower, J. H., & Brundin, P. (2009). Propagation of host disease to grafted neurons: 
Accumulating evidence. Experimental Neurology, 220(2), 224–225. 
https://doi.org/10.1016/j.expneurol.2009.09.016 
Kordower, J. H., Chu, Y., Hauser, R. A., Freeman, T. B., & Olanow, C. W. (2008). Lewy 
body–like pathology in long-term embryonic nigral transplants in Parkinson’s 
disease. Nature Medicine, 14(5), 504–506. https://doi.org/10.1038/nm1747 
Kordower, J. H., Dodiya, H. B., Kordower, A. M., Terpstra, B., Paumier, K., Madhavan, 
101 
 
L., Sortwell, C., Steece-Collier, K., & Collier, T. J. (2011). Transfer of host-derived 
alpha synuclein to grafted dopaminergic neurons in rat. Neurobiology of Disease, 
43(3), 552–557. https://doi.org/10.1016/j.nbd.2011.05.001 
Kordower, J. H., Freeman, T. B., Chen, E., Mufson, E. J., Sanberg, P. R., Hauser, R. A., 
Snow, B., & Warren Olanow, C. (1998). Fetal nigral grafts survive and mediate 
clinical benefit in a patient with Parkinson’s disease. Movement Disorders, 13(3), 
383–393. https://doi.org/10.1002/mds.870130303 
Kordower, J. H., Goetz, C. G., Chu, Y., Halliday, G. M., Nicholson, D. A., Musial, T. F., 
Marmion, D. J., Stoessl, A. J., Sossi, V., Freeman, T. B., & Olanow, C. W. (2017). 
Robust graft survival and normalized dopaminergic innervation do not obligate 
recovery in a P arkinson disease patient. Annals of Neurology, 81(1), 
46–57. https://doi.org/10.1002/ana.24820 
Kordower, J. H., Goetz, C. G., Freeman, T. B., & Olanow, C. W. (1997). Dopaminergic 
Transplants in Patients with Parkinson’s Disease: Neuroanatomical Correlates of 
Clinical Recovery. Experimental Neurology, 144(1), 41–46. 
https://doi.org/10.1006/exnr.1996.6386 
Kordower, J. H., Olanow, C. W., Dodiya, H. B., Chu, Y., Beach, T. G., Adler, C. H., 
Halliday, G. M., & Bartus, R. T. (2013). Disease duration and the integrity of the 
nigrostriatal system in Parkinson’s disease. Brain, 136(8), 2419–2431. 
https://doi.org/10.1093/brain/awt192 
Kordower, J. H., Rosenstein, J. M., Collier, T. J., Burke, M. A., Chen, E.-Y., Li, J. M., 
Martel, L., Levey, A. E., Mufson, E. J., Freeman, T. B., & Olanow, C. W. (1996). 
Functional fetal nigral grafts in a patient with Parkinson’s disease: Chemoanatomic, 
ultrastructural, and metabolic studies. The Journal of Comparative Neurology, 
370(2), 203–230. https://doi.org/10.1002/(SICI)1096-
9861(19960624)370:2<203::AID-CNE6>3.0.CO;2-6 
Kordower, J. H., Vinuela, A., Chu, Y., Isacson, O., & Redmond, D. E. (2017). 
Parkinsonian monkeys with prior levodopa‐induced dyskinesias followed by fetal 
dopamine precursor grafts do not display graft‐induced dyskinesias. Journal of 
Comparative Neurology, 525(3), 498–512. https://doi.org/10.1002/cne.24081 
Kriks, S., Shim, J.-W., Piao, J., Ganat, Y. M., Wakeman, D. R., Xie, Z., Carrillo-Reid, L., 
Auyeung, G., Antonacci, C., Buch, A., Yang, L., Beal, M. F., Surmeier, D. J., 
Kordower, J. H., Tabar, V., & Studer, L. (2011). Dopamine neurons derived from 
human ES cells efficiently engraft in animal models of Parkinson’s disease. Nature, 
480(7378), 547–551. https://doi.org/10.1038/nature10648 
Kwon, D. K., Kwatra, M., Wang, J., & Ko, H. S. (2022). Levodopa-Induced Dyskinesia in 
Parkinson’s Disease: Pathogenesis and Emerging Treatment Strategies. Cells, 
11(23), 3736. https://doi.org/10.3390/cells11233736 
Lacey, C. J., Boyes, J., Gerlach, O., Chen, L., Magill, P. J., & Bolam, J. P. (2005). 
102 
 
GABAB receptors at glutamatergic synapses in the rat striatum. Neuroscience, 
136(4), 1083–1095. https://doi.org/10.1016/j.neuroscience.2005.07.013 
Lanciego, J. L., Luquin, N., & Obeso, J. A. (2012). Functional Neuroanatomy of the 
Basal Ganglia. Cold Spring Harbor Perspectives in Medicine, 2(12), a009621–
a009621. https://doi.org/10.1101/cshperspect.a009621 
Lane, E. L., Brundin, P., & Cenci, M. A. (2009a). Amphetamine-induced abnormal 
movements occur independently of both transplant- and host-derived serotonin 
innervation following neural grafting in a rat model of Parkinson’s disease. 
Neurobiology of Disease, 35(1). https://doi.org/10.1016/j.nbd.2009.03.014 
Lane, E. L., Brundin, P., & Cenci, M. A. (2009b). Amphetamine-induced abnormal 
movements occur independently of both transplant- and host-derived serotonin 
innervation following neural grafting in a rat model of Parkinson’s disease. 
Neurobiology of Disease, 35(1), 42–51. https://doi.org/10.1016/j.nbd.2009.03.014 
Lane, E. L., & Lelos, M. J. (2022). Defining the unknowns for cell therapies in 
Parkinson’s disease. Disease Models & Mechanisms, 15(10). 
https://doi.org/10.1242/dmm.049543 
Lane, E. L., Vercammen, L., Cenci, M. A., & Brundin, P. (2009). Priming for L-DOPA-
induced abnormal involuntary movements increases the severity of amphetamine-
induced dyskinesia in grafted rats. Experimental Neurology, 219(1), 355–358. 
https://doi.org/10.1016/j.expneurol.2009.04.010 
Lane, E. L., Winkler, C., Brundin, P., & Cenci, M. A. (2006). The impact of graft size on 
the development of dyskinesia following intrastriatal grafting of embryonic 
dopamine neurons in the rat. Neurobiology of Disease, 22(2). 
https://doi.org/10.1016/j.nbd.2005.11.011 
Lang, A. E., & Espay, A. J. (2018). Disease Modification in Parkinson’s Disease: 
Current Approaches, Challenges, and Future Considerations. Movement Disorders, 
33(5), 660–677. https://doi.org/10.1002/mds.27360 
Langston, J. W. (1998). Epidemiology versus genetics in parkinson’s disease: Progress 
in resolving an age‐old debate. Annals of Neurology, 44(S1). 
https://doi.org/10.1002/ana.410440707 
Langston, J. W., Ballard, P., Tetrud, J. W., & Irwin, I. (1983). Chronic Parkinsonism in 
Humans Due to a Product of Meperidine-Analog Synthesis. Science, 219(4587), 
979–980. https://doi.org/10.1126/science.6823561 
Lees, A. J., Hardy, J., & Revesz, T. (2009). Parkinson’s disease. The Lancet, 
373(9680), 2055–2066. https://doi.org/10.1016/S0140-6736(09)60492-X 
Leibson, C. L., Maraganore, D. M., Bower, J. H., Ransom, J. E., O’Brien, P. C., & 
Rocca, W. A. (2006). Comorbid conditions associated with Parkinson’s disease: A 
103 
 
population‐based study. Movement Disorders, 21(4), 446–455. 
https://doi.org/10.1002/mds.20685 
Leranth, C., Sladek Jr., J. R., Roth, R. H., & Redmond Jr., D. E. (1998). Efferent 
synaptic connections of dopaminergic neurons grafted into the caudate nucleus of 
experimentally induced parkinsonian monkeys are different from those of control 
animals. Experimental Brain Research, 123(3), 323–333. 
https://doi.org/10.1007/s002210050575 
Li, J.-Y., Christophersen, N. S., Hall, V., Soulet, D., & Brundin, P. (2008). Critical issues 
of clinical human embryonic stem cell therapy for brain repair. Trends in 
Neurosciences, 31(3), 146–153. https://doi.org/10.1016/j.tins.2007.12.001 
Li, J.-Y., Englund, E., Holton, J. L., Soulet, D., Hagell, P., Lees, A. J., Lashley, T., 
Quinn, N. P., Rehncrona, S., Björklund, A., Widner, H., Revesz, T., Lindvall, O., & 
Brundin, P. (2008). Lewy bodies in grafted neurons in subjects with Parkinson’s 
disease suggest host-to-graft disease propagation. Nature Medicine, 14(5), 501–
503. https://doi.org/10.1038/nm1746 
Li, J., Englund, E., Widner, H., Rehncrona, S., Björklund, A., Lindvall, O., & Brundin, P. 
(2010). Characterization of Lewy body pathology in 12‐ and 16‐year‐old intrastriatal 
mesencephalic grafts surviving in a patient with Parkinson’s disease. Movement 
Disorders, 25(8), 1091–1096. https://doi.org/10.1002/mds.23012 
Li, W., Englund, E., Widner, H., Mattsson, B., van Westen, D., Lätt, J., Rehncrona, S., 
Brundin, P., Björklund, A., Lindvall, O., & Li, J.-Y. (2016). Extensive graft-derived 
dopaminergic innervation is maintained 24 years after transplantation in the 
degenerating parkinsonian brain. Proceedings of the National Academy of 
Sciences, 113(23), 6544–6549. https://doi.org/10.1073/pnas.1605245113 
Li, Y., Perry, T., Kindy, M. S., Harvey, B. K., Tweedie, D., Holloway, H. W., Powers, K., 
Shen, H., Egan, J. M., Sambamurti, K., Brossi, A., Lahiri, D. K., Mattson, M. P., 
Hoffer, B. J., Wang, Y., & Greig, N. H. (2009). GLP-1 receptor stimulation preserves 
primary cortical and dopaminergic neurons in cellular and rodent models of stroke 
and Parkinsonism. Proceedings of the National Academy of Sciences, 106(4), 
1285–1290. https://doi.org/10.1073/pnas.0806720106 
Liang, L., DeLong, M. R., & Papa, S. M. (2008). Inversion of dopamine responses in 
striatal medium spiny neurons and involuntary movements. The Journal of 
Neuroscience : The Official Journal of the Society for Neuroscience, 28(30), 7537–
7547. https://doi.org/10.1523/JNEUROSCI.1176-08.2008 
Lill, C. M. (2016). Genetics of Parkinson’s disease. Molecular and Cellular Probes, 
30(6), 386–396. https://doi.org/10.1016/j.mcp.2016.11.001 
Lindgren, H. S., Andersson, D. R., Lagerkvist, S., Nissbrandt, H., & Cenci, M. A. (2010). 
l‐DOPA‐induced dopamine efflux in the striatum and the substantia nigra in a rat 
model of Parkinson’s disease: temporal and quantitative relationship to the 
104 
 
expression of dyskinesia. Journal of Neurochemistry, 112(6), 1465–1476. 
https://doi.org/10.1111/j.1471-4159.2009.06556.x 
Lindvall, O., Backlund, E., Farde, L., Sedvall, G., Freedman, R., Hoffer, B., Nobin, A., 
Seiger, Åk., & Olson, L. (1987). Transplantation in Parkinson’s disease: Two cases 
of adrenal medullary grafts to the putamen. Annals of Neurology, 22(4), 457–468. 
https://doi.org/10.1002/ana.410220403 
Lindvall, O., Brundin, P., Widner, H., Rehncrona, S., Gustavii, B., Frackowiak, R., 
Leenders, K. L., Sawle, G., Rothwell, J. C., Marsden, C. D., & Björklund, M. (1990). 
Grafts of Fetal Dopamine Neurons Survive and Improve Motor Function in 
Parkinson’s Disease. Science, 247(4942), 574–577. 
https://doi.org/10.1126/science.2105529 
Lindvall, O., & Hagell, P. (2000). Chapter 13 Clinical observations after neural 
transplantation in Parkinson’s disease (pp. 299–320). 
https://doi.org/10.1016/S0079-6123(00)27014-3 
Lindvall, O., Widner, H., Rehncrona, S., Brundin, P., Odin, P., Gustavii, B., Frackowiak, 
R., Leenders, K. L., Sawle, G., Rothwell, J. C., Ourklund, A. B., & Marsden, C. D. 
(1992). Transplantation of fetal dopamine neurons in Parkinson’s disease: One‐
year clinical and neurophysiological observations in two patients with putaminal 
implants. Annals of Neurology, 31(2), 155–165. 
https://doi.org/10.1002/ana.410310206 
Lozano, A. M., Lipsman, N., Bergman, H., Brown, P., Chabardes, S., Chang, J. W., 
Matthews, K., McIntyre, C. C., Schlaepfer, T. E., Schulder, M., Temel, Y., 
Volkmann, J., & Krauss, J. K. (2019). Deep brain stimulation: current challenges 
and future directions. Nature Reviews Neurology, 15(3), 148–160. 
https://doi.org/10.1038/s41582-018-0128-2 
Lunati, A., Lesage, S., & Brice, A. (2018). The genetic landscape of Parkinson’s 
disease. Revue Neurologique, 174(9), 628–643. 
https://doi.org/10.1016/j.neurol.2018.08.004 
Lundblad, M., Decressac, M., Mattsson, B., & Björklund, A. (2012). Impaired 
neurotransmission caused by overexpression of α-synuclein in nigral dopamine 
neurons. Proceedings of the National Academy of Sciences, 109(9), 3213–3219. 
https://doi.org/10.1073/pnas.1200575109 
Ma, Y., Feigin, A., Dhawan, V., Fukuda, M., Shi, Q., Greene, P., Breeze, R., Fahn, S., 
Freed, C., & Eidelberg, D. (2002). Dyskinesia after fetal cell transplantation for 
parkinsonism: A PET study. Annals of Neurology, 52(5), 628–634. 
https://doi.org/10.1002/ana.10359 
Madrazo, I., Drucker-Colín, R., Díaz, V., Martínez-Mata, J., Torres, C., & Becerril, J. J. 
(1987). Open Microsurgical Autograft of Adrenal Medulla to the Right Caudate 
Nucleus in Two Patients with Intractable Parkinson’s Disease. New England 
105 
 
Journal of Medicine, 316(14), 831–834. 
https://doi.org/10.1056/NEJM198704023161402 
Mahalik, T. J., Finger, T. E., Stromberg, I., & Olson, L. (1985). Substantia nigra 
transplants into denervated striatum of the rat: Ultrastructure of graft and host 
interconnections. Journal of Comparative Neurology, 240(1), 60–70. 
https://doi.org/10.1002/cne.902400105 
Malek, N., Weil, R. S., Bresner, C., Lawton, M. A., Grosset, K. A., Tan, M., Bajaj, N., 
Barker, R. A., Burn, D. J., Foltynie, T., Hardy, J., Wood, N. W., Ben-Shlomo, Y., 
Williams, N. W., Grosset, D. G., & Morris, H. R. (2018). Features of GBA -
associated Parkinson’s disease at presentation in the UK Tracking Parkinson’s 
study. Journal of Neurology, Neurosurgery & Psychiatry, 89(7), 702–709. 
https://doi.org/10.1136/jnnp-2017-317348 
Manson, A., Stirpe, P., & Schrag, A. (2012). Levodopa-Induced-Dyskinesias Clinical 
Features, Incidence, Risk Factors, Management and Impact on Quality of Life. 
Journal of Parkinson’s Disease, 2(3), 189–198. https://doi.org/10.3233/JPD-2012-
120103 
Mansouri, A., Taslimi, S., Badhiwala, J. H., Witiw, C. D., Nassiri, F., Odekerken, V. J. J., 
De Bie, R. M. A., Kalia, S. K., Hodaie, M., Munhoz, R. P., Fasano, A., & Lozano, A. 
M. (2018). Deep brain stimulation for Parkinson’s disease: meta-analysis of results 
of randomized trials at varying lengths of follow-up. Journal of Neurosurgery, 
128(4), 1199–1213. https://doi.org/10.3171/2016.11.JNS16715 
Maries, E., Kordower, J. H., Chu, Y., Collier, T. J., Sortwell, C. E., Olaru, E., Shannon, 
K., & Steece-Collier, K. (2006). Focal not widespread grafts induce novel dyskinetic 
behavior in parkinsonian rats. Neurobiology of Disease, 21(1). 
https://doi.org/10.1016/j.nbd.2005.07.002 
Marras, C., Hincapié, C. A., Kristman, V. L., Cancelliere, C., Soklaridis, S., Li, A., Borg, 
J., af Geijerstam, J.-L., & Cassidy, J. D. (2014). Systematic Review of the Risk of 
Parkinson’s Disease After Mild Traumatic Brain Injury: Results of the International 
Collaboration on Mild Traumatic Brain Injury Prognosis. Archives of Physical 
Medicine and Rehabilitation, 95(3), S238–S244. 
https://doi.org/10.1016/j.apmr.2013.08.298 
Marsili, L., Rizzo, G., & Colosimo, C. (2018). Diagnostic Criteria for Parkinson’s 
Disease: From James Parkinson to the Concept of Prodromal Disease. Frontiers in 
Neurology, 9. https://doi.org/10.3389/fneur.2018.00156 
Maserejian, N., Vinikoor-Imler, L., & Dilley, A. (2020). Estimation of the 2020 global 
population of Parkinson’s disease (PD). Movement Disorders, 35, S79–S80. 
McCann, H., Stevens, C. H., Cartwright, H., & Halliday, G. M. (2014). α-Synucleinopathy 
phenotypes. Parkinsonism & Related Disorders, 20, S62–S67. 
https://doi.org/10.1016/S1353-8020(13)70017-8 
106 
 
McCormack, A. L., Thiruchelvam, M., Manning-Bog, A. B., Thiffault, C., Langston, J. W., 
Cory-Slechta, D. A., & Di Monte, D. A. (2002). Environmental Risk Factors and 
Parkinson’s Disease: Selective Degeneration of Nigral Dopaminergic Neurons 
Caused by the Herbicide Paraquat. Neurobiology of Disease, 10(2), 119–127. 
https://doi.org/10.1006/nbdi.2002.0507 
McNeill, T. H., Brown, S. A., Rafols, J. A., & Shoulson, I. (1988). Atrophy of medium 
spiny I striatal dendrites in advanced Parkinson’s disease. Brain Research, 455(1), 
148–152. https://doi.org/10.1016/0006-8993(88)90124-2 
Meadows, S. M., Conti, M. M., Gross, L., Chambers, N. E., Avnor, Y., Ostock, C. Y., 
Lanza, K., & Bishop, C. (2018). Diverse serotonin actions of vilazodone reduce l‐
3,4‐dihidroxyphenylalanine–induced dyskinesia in hemi‐parkinsonian rats. 
Movement Disorders, 33(11), 1740–1749. https://doi.org/10.1002/mds.100 
Mendez, I., Dagher, A., Hong, M., Gaudet, P., Weerasinghe, S., McAlister, V., King, D., 
Desrosiers, J., Darvesh, S., Acorn, T., & Robertson, H. (2002). Simultaneous 
intrastriatal and intranigral fetal dopaminergic grafts in patients with Parkinson 
disease: a pilot study. Journal of Neurosurgery, 96(3), 589–596. 
https://doi.org/10.3171/jns.2002.96.3.0589 
Mendez, I., Viñuela, A., Astradsson, A., Mukhida, K., Hallett, P., Robertson, H., Tierney, 
T., Holness, R., Dagher, A., Trojanowski, J. Q., & Isacson, O. (2008). Dopamine 
neurons implanted into people with Parkinson’s disease survive without pathology 
for 14 years. Nature Medicine, 14(5), 507–509. https://doi.org/10.1038/nm1752 
Mercado, N. M., Stancati, J. A., Sortwell, C. E., Mueller, R. L., Boezwinkle, S. A., Duffy, 
M. F., Fischer, D. L., Sandoval, I. M., Manfredsson, F. P., Collier, T. J., & Steece-
Collier, K. (2021). The BDNF Val66Met polymorphism (rs6265) enhances 
dopamine neuron graft efficacy and side-effect liability in rs6265 knock-in rats. 
Neurobiology of Disease, 148. https://doi.org/10.1016/j.nbd.2020.105175 
Mercado, N. M., Szarowicz, C., Stancati, J. A., Sortwell, C. E., Boezwinkle, S. A., 
Collier, T. J., Caulfield, M. E., & Steece-Collier, K. (2024). Advancing age and the 
rs6265 BDNF SNP are permissive to graft-induced dyskinesias in parkinsonian 
rats. Npj Parkinson’s Disease, 10(1), 163. https://doi.org/10.1038/s41531-024-
00771-6 
Merola, A., Romagnolo, A., Bernardini, A., Rizzi, L., Artusi, C. A., Lanotte, M., Rizzone, 
M. G., Zibetti, M., & Lopiano, L. (2015). Earlier versus later subthalamic deep brain 
stimulation in Parkinson’s disease. Parkinsonism & Related Disorders, 21(8), 972–
975. https://doi.org/10.1016/j.parkreldis.2015.06.001 
Milber, J. M., Noorigian, J. V., Morley, J. F., Petrovitch, H., White, L., Ross, G. W., & 
Duda, J. E. (2012). Lewy pathology is not the first sign of degeneration in 
vulnerable neurons in Parkinson disease. Neurology, 79(24), 2307–2314. 
https://doi.org/10.1212/WNL.0b013e318278fe32 
107 
 
Miller, G. W., Kirby, M. L., Levey, A. I., & Bloomquist, J. R. (1999). Heptachlor alters 
expression and function of dopamine transporters. Neurotoxicology, 20(4), 631–
637. 
Mingote, S., Amsellem, A., Kempf, A., Rayport, S., & Chuhma, N. (2019). Dopamine-
glutamate neuron projections to the nucleus accumbens medial shell and 
behavioral switching. Neurochemistry International, 129, 104482. 
https://doi.org/10.1016/j.neuint.2019.104482 
MINK, J. W. (1996). THE BASAL GANGLIA: FOCUSED SELECTION AND INHIBITION 
OF COMPETING MOTOR PROGRAMS. Progress in Neurobiology, 50(4), 381–
425. https://doi.org/10.1016/S0301-0082(96)00042-1 
Mishima, T., Fujioka, S., Morishita, T., Inoue, T., & Tsuboi, Y. (2021). Personalized 
Medicine in Parkinson’s Disease: New Options for Advanced Treatments. Journal 
of Personalized Medicine, 11(7), 650. https://doi.org/10.3390/jpm11070650 
Miyazaki, I., Asanuma, M., Diaz-Corrales, F. J., Miyoshi, K., & Ogawa, N. (2004). Direct 
evidence for expression of dopamine receptors in astrocytes from basal ganglia. 
Brain Research, 1029(1), 120–123. https://doi.org/10.1016/j.brainres.2004.09.014 
Monte, D. A. Di. (2003). The environment and Parkinson’s disease: is the nigrostriatal 
system preferentially targeted by neurotoxins? The Lancet Neurology, 2(9), 531–
538. https://doi.org/10.1016/S1474-4422(03)00501-5 
Morens, D. M., Davis, J. W., Grandinetti, A., Ross, G. W., Popper, J. S., & White, L. R. 
(1996). Epidemiologic observations on Parkinson’s disease. Neurology, 46(4), 
1044–1050. https://doi.org/10.1212/WNL.46.4.1044 
Morgante, F., Espay, A. J., Gunraj, C., Lang, A. E., & Chen, R. (2006). Motor cortex 
plasticity in Parkinson’s disease and levodopa-induced dyskinesias. Brain, 129(4), 
1059–1069. https://doi.org/10.1093/brain/awl031 
Moustafa, A. A., Chakravarthy, S., Phillips, J. R., Gupta, A., Keri, S., Polner, B., Frank, 
M. J., & Jahanshahi, M. (2016). Motor symptoms in Parkinson’s disease: A unified 
framework. Neuroscience & Biobehavioral Reviews, 68, 727–740. 
https://doi.org/10.1016/j.neubiorev.2016.07.010 
Munhoz, R. P., Tumas, V., Pedroso, J. L., & Silveira-Moriyama, L. (2024). The clinical 
diagnosis of Parkinson’s disease. Arquivos de Neuro-Psiquiatria, 82(06), 001–010. 
https://doi.org/10.1055/s-0043-1777775 
Muramatsu, S., Fujimoto, K., Kato, S., Mizukami, H., Asari, S., Ikeguchi, K., Kawakami, 
T., Urabe, M., Kume, A., Sato, T., Watanabe, E., Ozawa, K., & Nakano, I. (2010). A 
Phase I Study of Aromatic L-Amino Acid Decarboxylase Gene Therapy for 
Parkinson’s Disease. Molecular Therapy, 18(9), 1731–1735. 
https://doi.org/10.1038/mt.2010.135 
108 
 
National Institute of Diabetes and Digestive and Kidney Diseases. (2012a). Levodopa. 
National Institute of Diabetes and Digestive and Kidney Diseases. (2012b). Parkinson 
Disease Agents. 
Nemani, V. M., Lu, W., Berge, V., Nakamura, K., Onoa, B., Lee, M. K., Chaudhry, F. A., 
Nicoll, R. A., & Edwards, R. H. (2010). Increased Expression of α-Synuclein 
Reduces Neurotransmitter Release by Inhibiting Synaptic Vesicle Reclustering after 
Endocytosis. Neuron, 65(1), 66–79. https://doi.org/10.1016/j.neuron.2009.12.023 
Neumann, J., Bras, J., Deas, E., O’Sullivan, S. S., Parkkinen, L., Lachmann, R. H., Li, 
A., Holton, J., Guerreiro, R., Paudel, R., Segarane, B., Singleton, A., Lees, A., 
Hardy, J., Houlden, H., Revesz, T., & Wood, N. W. (2009). Glucocerebrosidase 
mutations in clinical and pathologically proven Parkinson’s disease. Brain, 132(7), 
1783–1794. https://doi.org/10.1093/brain/awp044 
Norris, E. H., Giasson, B. I., & Lee, V. M.-Y. (2004). α-Synuclein: Normal Function and 
Role in Neurodegenerative Diseases (pp. 17–54). https://doi.org/10.1016/S0070-
2153(04)60002-0 
Noyce, A. J., Bestwick, J. P., Silveira‐Moriyama, L., Hawkes, C. H., Giovannoni, G., 
Lees, A. J., & Schrag, A. (2012). Meta‐analysis of early nonmotor features and risk 
factors for Parkinson disease. Annals of Neurology, 72(6), 893–901. 
https://doi.org/10.1002/ana.23687 
Noyce, A. J., Lees, A. J., & Schrag, A.-E. (2016). The prediagnostic phase of 
Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 87(8), 871–
878. https://doi.org/10.1136/jnnp-2015-311890 
Nutt, J. G., & Wooten, G. F. (2005). Diagnosis and Initial Management of Parkinson’s 
Disease. New England Journal of Medicine, 353(10), 1021–1027. 
https://doi.org/10.1056/NEJMcp043908 
O’Hara, D. M., Pawar, G., Kalia, S. K., & Kalia, L. V. (2020). LRRK2 and α-Synuclein: 
Distinct or Synergistic Players in Parkinson’s Disease? Frontiers in Neuroscience, 
14. https://doi.org/10.3389/fnins.2020.00577 
Obeso, J. A., Rodríguez-Oroz, M. C., Rodríguez, M., Arbizu, J., & Giménez-Amaya, J. 
M. (2002). The Basal Ganglia and Disorders of Movement: Pathophysiological 
Mechanisms. Physiology, 17(2), 51–55. https://doi.org/10.1152/nips.01363.2001 
Okun, M. S. (2014). Deep-Brain Stimulation — Entering the Era of Human Neural-
Network Modulation. New England Journal of Medicine, 371(15), 1369–1373. 
https://doi.org/10.1056/NEJMp1408779 
Olanow, C. W., & Brundin, P. (2013). Parkinson’s Disease and Alpha Synuclein: Is 
Parkinson’s Disease a Prion‐Like Disorder? Movement Disorders, 28(1), 31–40. 
https://doi.org/10.1002/mds.25373 
109 
 
Olanow, C. W., Calabresi, P., & Obeso, J. A. (2020). Continuous Dopaminergic 
Stimulation as a Treatment for Parkinson’s Disease: Current Status and Future 
Opportunities. Movement Disorders, 35(10), 1731–1744. 
https://doi.org/10.1002/mds.28215 
Olanow, C. W., Goetz, C. G., Kordower, J. H., Stoessl, A. J., Sossi, V., Brin, M. F., 
Shannon, K. M., Nauert, G. M., Perl, D. P., Godbold, J., & Freeman, T. B. (2003). A 
double-blind controlled trial of bilateral fetal nigral transplantation in Parkinson’s 
disease. Annals of Neurology, 54(3). https://doi.org/10.1002/ana.10720 
Olanow, C. W., Obeso, J. A., & Stocchi, F. (2006). Continuous dopamine-receptor 
treatment of Parkinson’s disease: scientific rationale and clinical implications. The 
Lancet Neurology, 5(8), 677–687. https://doi.org/10.1016/S1474-4422(06)70521-X 
Olanow, C. W., & Prusiner, S. B. (2009). Is Parkinson’s disease a prion disorder? 
Proceedings of the National Academy of Sciences, 106(31), 12571–12572. 
https://doi.org/10.1073/pnas.0906759106 
Olson, L., & Seiger, �ke. (1972). Brain tissue transplanted to the anterior chamber of 
the eye. Zeitschrift F�r Zellforschung Und Mikroskopische Anatomie, 135(2), 175–
194. https://doi.org/10.1007/BF00315125 
Paisán-Ruiz, C., Lewis, P. A., & Singleton, A. B. (2013). LRRK2: Cause, Risk, and 
Mechanism. Journal of Parkinson’s Disease, 3(2), 85–103. 
https://doi.org/10.3233/JPD-130192 
Palacios, N., Gao, X., McCullough, M. L., Jacobs, E. J., Patel, A. V., Mayo, T., 
Schwarzschild, M. A., & Ascherio, A. (2011). Obesity, diabetes, and risk of 
Parkinson’s disease. Movement Disorders, 26(12), 2253–2259. 
https://doi.org/10.1002/mds.23855 
Palfi, S., Gurruchaga, J. M., Ralph, G. S., Lepetit, H., Lavisse, S., Buttery, P. C., Watts, 
C., Miskin, J., Kelleher, M., Deeley, S., Iwamuro, H., Lefaucheur, J. P., Thiriez, C., 
Fenelon, G., Lucas, C., Brugières, P., Gabriel, I., Abhay, K., Drouot, X., … 
Mitrophanous, K. A. (2014). Long-term safety and tolerability of ProSavin, a 
lentiviral vector-based gene therapy for Parkinson’s disease: a dose escalation, 
open-label, phase 1/2 trial. The Lancet, 383(9923), 1138–1146. 
https://doi.org/10.1016/S0140-6736(13)61939-X 
Pan, T., Kondo, S., Le, W., & Jankovic, J. (2008). The role of autophagy-lysosome 
pathway in neurodegeneration associated with Parkinson’s disease. Brain, 131(8), 
1969–1978. 
Pang, S. Y.-Y., Ho, P. W.-L., Liu, H.-F., Leung, C.-T., Li, L., Chang, E. E. S., Ramsden, 
D. B., & Ho, S.-L. (2019). The interplay of aging, genetics and environmental 
factors in the pathogenesis of Parkinson’s disease. Translational 
Neurodegeneration, 8(1), 23. https://doi.org/10.1186/s40035-019-0165-9 
110 
 
Papapetropoulos, S., Singer, C., Ross, O. A., Toft, M., Johnson, J. L., Farrer, M. J., & 
Mash, D. C. (2006). Clinical Heterogeneity of the LRRK2 G2019S Mutation. 
Archives of Neurology, 63(9), 1242. https://doi.org/10.1001/archneur.63.9.1242 
Parkinson, J. (2002). An Essay on the Shaking Palsy. The Journal of Neuropsychiatry 
and Clinical Neurosciences, 14(2), 223–236. https://doi.org/10.1176/jnp.14.2.223 
Parkkinen, L., Pirttilä, T., Tervahauta, M., & Alafuzoff, I. (2005). Widespread and 
abundant α‐synuclein pathology in a neurologically unimpaired subject. 
Neuropathology, 25(4), 304–314. https://doi.org/10.1111/j.1440-1789.2005.00644.x 
Parmar, M., Grealish, S., & Henchcliffe, C. (2020). The future of stem cell therapies for 
Parkinson disease. Nature Reviews Neuroscience, 21(2), 103–115. 
https://doi.org/10.1038/s41583-019-0257-7 
Paul, K. C., Krolewski, R. C., Lucumi Moreno, E., Blank, J., Holton, K. M., Ahfeldt, T., 
Furlong, M., Yu, Y., Cockburn, M., Thompson, L. K., Kreymerman, A., Ricci-Blair, 
E. M., Li, Y. J., Patel, H. B., Lee, R. T., Bronstein, J., Rubin, L. L., Khurana, V., & 
Ritz, B. (2023). A pesticide and iPSC dopaminergic neuron screen identifies and 
classifies Parkinson-relevant pesticides. Nature Communications, 14(1), 2803. 
https://doi.org/10.1038/s41467-023-38215-z 
Perlow, M. J., Freed, W. J., Hoffer, B. J., Seiger, A., Olson, L., & Wyatt, R. J. (1979). 
Brain Grafts Reduce Motor Abnormalities Produced by Destruction of Nigrostriatal 
Dopamine System. Science, 204(4393), 643–647. 
https://doi.org/10.1126/science.571147 
Peschanski, M., Defer, G., N’Guyen, J. P., Ricolfi, F., Monfort, J. C., Remy, P., Geny, 
C., Samson, Y., Hantraye, P., Jeny, R., Gaston, A., Kéravel, Y., Degos, J. D., & 
Cesaro, P. (1994). Bilateral motor improvement and alteration of L-dopa effect in 
two patients with Parkinson’s disease following intrastriatal transplantation of foetal 
ventral mesencephalon. Brain, 117(3), 487–499. 
https://doi.org/10.1093/brain/117.3.487 
Peters, A., & Palay, S. L. (1996). The morphology of synapses. Journal of 
Neurocytology, 25(1), 687–700. https://doi.org/10.1007/BF02284835 
Petrucci, S., Ginevrino, M., Trezzi, I., Monfrini, E., Ricciardi, L., Albanese, A., Avenali, 
M., Barone, P., Bentivoglio, A. R., Bonifati, V., Bove, F., Bonanni, L., Brusa, L., 
Cereda, C., Cossu, G., Criscuolo, C., Dati, G., De Rosa, A., Eleopra, R., … 
Valente, E. M. (2020).  GBA ‐Related  Parkinson’s Disease: Dissection 
of Genotype–Phenotype Correlates in a Large Italian Cohort. Movement Disorders, 
35(11), 2106–2111. https://doi.org/10.1002/mds.28195 
Piccini, P., Brooks, D. J., Björklund, A., Gunn, R. N., Grasby, P. M., Rimoldi, O., 
Brundin, P., Hagell, P., Rehncrona, S., Widner, H., & Lindvall, O. (1999). Dopamine 
release from nigral transplants visualized in vivo in a Parkinson’s patient. Nature 
Neuroscience, 2(12), 1137–1140. https://doi.org/10.1038/16060 
111 
 
Picconi, B., Centonze, D., Håkansson, K., Bernardi, G., Greengard, P., Fisone, G., 
Cenci, M. A., & Calabresi, P. (2003). Loss of bidirectional striatal synaptic plasticity 
in L-DOPA–induced dyskinesia. Nature Neuroscience, 6(5), 501–506. 
https://doi.org/10.1038/nn1040 
Poewe, W., Antonini, A., Zijlmans, J. C., Burkhard, P. R., & Vingerhoets, F. (2010). 
Levodopa in the treatment of Parkinson’s disease: an old drug still going strong. 
Clinical Interventions in Aging, 5, 229–238. https://doi.org/10.2147/cia.s6456 
Poirier, L. J., & Sourkes, T. L. (1964). [INFLUENCE OF LOCUS NIGER ON THE 
CONCENTRATION OF CATECHOLAMINES IN THE STRIATUM]. Journal de 
Physiologie, 56, 426–427. 
Politis, M. (2010). Dyskinesias after neural transplantation in Parkinson’s disease: What 
do we know and what is next? In BMC Medicine (Vol. 8). 
https://doi.org/10.1186/1741-7015-8-80 
Politis, M., Oertel, W. H., Wu, K., Quinn, N. P., Pogarell, O., Brooks, D. J., Bjorklund, A., 
Lindvall, O., & Piccini, P. (2011). Graft‐induced dyskinesias in Parkinson’s disease: 
High striatal serotonin/dopamine transporter ratio. Movement Disorders, 26(11), 
1997–2003. https://doi.org/10.1002/mds.23743 
Politis, M., Wu, K., Loane, C., Quinn, N. P., Brooks, D. J., Rehncrona, S., Bjorklund, A., 
Lindvall, O., & Piccini, P. (2010). Serotonergic Neurons Mediate Dyskinesia Side 
Effects in Parkinson’s Patients with Neural Transplants. Science Translational 
Medicine, 2(38). https://doi.org/10.1126/scitranslmed.3000976 
Polymeropoulos, M. H., Lavedan, C., Leroy, E., Ide, S. E., Dehejia, A., Dutra, A., Pike, 
B., Root, H., Rubenstein, J., Boyer, R., Stenroos, E. S., Chandrasekharappa, S., 
Athanassiadou, A., Papapetropoulos, T., Johnson, W. G., Lazzarini, A. M., 
Duvoisin, R. C., Di Iorio, G., Golbe, L. I., & Nussbaum, R. L. (1997). Mutation in the 
α-Synuclein Gene Identified in Families with Parkinson’s Disease. Science, 
276(5321), 2045–2047. https://doi.org/10.1126/science.276.5321.2045 
Ponsen, M. M., Stoffers, D., Booij, J., van Eck‐Smit, B. L. F., Wolters, E. C., & 
Berendse, H. W. (2004). Idiopathic hyposmia as a preclinical sign of Parkinson’s 
disease. Annals of Neurology, 56(2), 173–181. https://doi.org/10.1002/ana.20160 
Poortvliet, P. C., O’Maley, K., Silburn, P. A., & Mellick, G. D. (2020). Perspective: 
Current Pitfalls in the Search for Future Treatments and Prevention of Parkinson’s 
Disease. Frontiers in Neurology, 11, 686. https://doi.org/10.3389/fneur.2020.00686 
Postma, J. U., & Van Tilburg, W. (1975). Visual Hallucinations and Delirium During 
Treatment with Amantadine (Symmetrel). Journal of the American Geriatrics 
Society, 23(5), 212–215. https://doi.org/10.1111/j.1532-5415.1975.tb00187.x 
Postuma, R. B., Berg, D., Stern, M., Poewe, W., Olanow, C. W., Oertel, W., Obeso, J., 
Marek, K., Litvan, I., Lang, A. E., Halliday, G., Goetz, C. G., Gasser, T., Dubois, B., 
112 
 
Chan, P., Bloem, B. R., Adler, C. H., & Deuschl, G. (2015). MDS clinical diagnostic 
criteria for Parkinson’s disease. Movement Disorders, 30(12), 1591–1601. 
https://doi.org/10.1002/mds.26424 
Postuma, R. B., Poewe, W., Litvan, I., Lewis, S., Lang, A. E., Halliday, G., Goetz, C. G., 
Chan, P., Slow, E., Seppi, K., Schaffer, E., Rios‐Romenets, S., Mi, T., Maetzler, C., 
Li, Y., Heim, B., Bledsoe, I. O., & Berg, D. (2018). Validation of the MDS clinical 
diagnostic criteria for Parkinson’s disease. Movement Disorders, 33(10), 1601–
1608. https://doi.org/10.1002/mds.27362 
Pouchieu, C., Piel, C., Carles, C., Gruber, A., Helmer, C., Tual, S., Marcotullio, E., 
Lebailly, P., & Baldi, I. (2018). Pesticide use in agriculture and Parkinson’s disease 
in the AGRICAN cohort study. International Journal of Epidemiology, 47(1), 299–
310. https://doi.org/10.1093/ije/dyx225 
Prashanth, L. K., Fox, S., & Meissner, W. G. (2011). l-Dopa-Induced Dyskinesia—
Clinical Presentation, Genetics, and Treatment (pp. 31–54). 
https://doi.org/10.1016/B978-0-12-381328-2.00002-X 
Prévost, E. D., Phillips, A., Lauridsen, K., Enserro, G., Rubinstein, B., Alas, D., 
McGovern, D. J., Ly, A., Hotchkiss, H., Banks, M., McNulty, C., Kim, Y. S., Fenno, 
L. E., Ramakrishnan, C., Deisseroth, K., & Root, D. H. (2024). Monosynaptic Inputs 
to Ventral Tegmental Area Glutamate and GABA Co-transmitting Neurons. The 
Journal of Neuroscience, 44(46), e2184232024. 
https://doi.org/10.1523/JNEUROSCI.2184-23.2024 
Prévost, E. D., Ward, L. A., Alas, D., Aimale, G., Ikenberry, S., Fox, K., Pelletier, J., Ly, 
A., Ball, J., Kilpatrick, Z. P., Price, K., Polter, A. M., & Root, D. H. (2025). 
Untangling dopamine and glutamate in the ventral tegmental area. 
https://doi.org/10.1101/2025.02.25.640201 
Purisai, M. G., McCormack, A. L., Cumine, S., Li, J., Isla, M. Z., & Di Monte, D. A. 
(2007). Microglial activation as a priming event leading to paraquat-induced 
dopaminergic cell degeneration. Neurobiology of Disease, 25(2), 392–400. 
https://doi.org/10.1016/j.nbd.2006.10.008 
Rajput, A. H., & Rajput, A. (2014). Accuracy of Parkinson disease diagnosis unchanged 
in 2 decades. Neurology, 83(5), 386–387. 
https://doi.org/10.1212/WNL.0000000000000653 
Rajput, A. H., Sitte, H. H., Rajput, A., Fenton, M. E., Pifl, C., & Hornykiewicz, O. (2008). 
Globus pallidus dopamine and Parkinson motor subtypes. Neurology, 
70(16_part_2), 1403–1410. https://doi.org/10.1212/01.wnl.0000285082.18969.3a 
Ramalingam, N., Brontesi, L., Jin, S., Selkoe, D. J., & Dettmer, U. (2023). Dynamic 
reversibility of α‐synuclein serine‐129 phosphorylation is impaired in 
synucleinopathy models. EMBO Reports, 24(12). 
https://doi.org/10.15252/embr.202357145 
113 
 
Rascol, O., Arnulf, I., Peyro‐Saint Paul, H., Brefel‐Courbon, C., Vidailhet, M., Thalamas, 
C., Bonnet, A. M., Descombes, S., Bejjani, B., Fabre, N., Montastruc, J. L., & Agid, 
Y. (2001). Idazoxan, an alpha‐2 antagonist, and L‐DOPA‐induced dyskinesias in 
patients with Parkinson’s disease. Movement Disorders, 16(4), 708–713. 
https://doi.org/10.1002/mds.1143 
Redgrave, P., & Gurney, K. (2006). The short-latency dopamine signal: a role in 
discovering novel actions? Nature Reviews Neuroscience, 7(12), 967–975. 
https://doi.org/10.1038/nrn2022 
Rhee, Y.-H., Ko, J.-Y., Chang, M.-Y., Yi, S.-H., Kim, D., Kim, C.-H., Shim, J.-W., Jo, A.-
Y., Kim, B.-W., Lee, H., Lee, S.-H., Suh, W., Park, C.-H., Koh, H.-C., Lee, Y.-S., 
Lanza, R., Kim, K.-S., & Lee, S.-H. (2011). Protein-based human iPS cells 
efficiently generate functional dopamine neurons and can treat a rat model of 
Parkinson disease. Journal of Clinical Investigation, 121(6), 2326–2335. 
https://doi.org/10.1172/JCI45794 
Richardson, J. R., Caudle, W. M., Guillot, T. S., Watson, J. L., Nakamaru-Ogiso, E., 
Seo, B. B., Sherer, T. B., Greenamyre, J. T., Yagi, T., Matsuno-Yagi, A., & Miller, 
G. W. (2007). Obligatory Role for Complex I Inhibition in the Dopaminergic 
Neurotoxicity of 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Toxicological 
Sciences, 95(1), 196–204. https://doi.org/10.1093/toxsci/kfl133 
Richardson, J. R., Caudle, W. M., Wang, M., Dean, E. D., Pennell, K. D., Miller, G. W., 
Richardson, J. R., Caudle, W. M., Wang, M., Dean, E. D., Pennell, K. D., & Miller, 
G. W. (2006). Developmental exposure to the pesticide dieldrin alters the dopamine 
system and increases neurotoxicity in an animal model of Parkinson’s disease. The 
FASEB Journal, 20(10), 1695–1697. https://doi.org/10.1096/fj.06-5864fje 
Riley, D., Lang, A. E., Blair, R. D., Birnbaum, A., & Reid, B. (1989). Frozen shoulder and 
other shoulder disturbances in Parkinson’s disease. Journal of Neurology, 
Neurosurgery & Psychiatry, 52(1), 63–66. https://doi.org/10.1136/jnnp.52.1.63 
Robinson, T. E., & Kolb, B. (1999). Alterations in the morphology of dendrites and 
dendritic spines in the nucleus accumbens and prefrontal cortex following repeated 
treatment with amphetamine or cocaine. European Journal of Neuroscience, 11(5), 
1598–1604. https://doi.org/10.1046/j.1460-9568.1999.00576.x 
Root, D. H., Wang, H.-L., Liu, B., Barker, D. J., Mód, L., Szocsics, P., Silva, A. C., 
Maglóczky, Z., & Morales, M. (2016). Glutamate neurons are intermixed with 
midbrain dopamine neurons in nonhuman primates and humans. Scientific Reports, 
6(1), 30615. https://doi.org/10.1038/srep30615 
Ross, G. W., Abbott, R. D., Petrovitch, H., Tanner, C. M., & White, L. R. (2012). Pre-
motor features of Parkinson’s disease: the Honolulu-Asia Aging Study experience. 
Parkinsonism & Related Disorders, 18, S199–S202. https://doi.org/10.1016/S1353-
8020(11)70062-1 
114 
 
Ross, O. A., Soto-Ortolaza, A. I., Heckman, M. G., Aasly, J. O., Abahuni, N., Annesi, G., 
Bacon, J. A., Bardien, S., Bozi, M., Brice, A., Brighina, L., Van Broeckhoven, C., 
Carr, J., Chartier-Harlin, M.-C., Dardiotis, E., Dickson, D. W., Diehl, N. N., Elbaz, A., 
Ferrarese, C., … Farrer, M. J. (2011). Association of LRRK2 exonic variants with 
susceptibility to Parkinson’s disease: a case–control study. The Lancet Neurology, 
10(10), 898–908. https://doi.org/10.1016/S1474-4422(11)70175-2 
Roy, N. S., Cleren, C., Singh, S. K., Yang, L., Beal, M. F., & Goldman, S. A. (2006). 
Functional engraftment of human ES cell–derived dopaminergic neurons enriched 
by coculture with telomerase-immortalized midbrain astrocytes. Nature Medicine, 
12(11), 1259–1268. https://doi.org/10.1038/nm1495 
Rubio, J. P., Topp, S., Warren, L., St. Jean, P. L., Wegmann, D., Kessner, D., 
Novembre, J., Shen, J., Fraser, D., Aponte, J., Nangle, K., Cardon, L. R., Ehm, M. 
G., Chissoe, S. L., Whittaker, J. C., Nelson, M. R., & Mooser, V. E. (2012). Deep 
sequencing of the LRRK2 gene in 14,002 individuals reveals evidence of purifying 
selection and independent origin of the p.Arg1628Pro mutation in Europe. Human 
Mutation, 33(7), 1087–1098. https://doi.org/10.1002/humu.22075 
Rudow, G., O’Brien, R., Savonenko, A. V., Resnick, S. M., Zonderman, A. B., 
Pletnikova, O., Marsh, L., Dawson, T. M., Crain, B. J., West, M. J., & Troncoso, J. 
C. (2008). Morphometry of the human substantia nigra in ageing and Parkinson’s 
disease. Acta Neuropathologica, 115(4), 461–470. https://doi.org/10.1007/s00401-
008-0352-8 
Rylander, D., Parent, M., O’Sullivan, S. S., Dovero, S., Lees, A. J., Bezard, E., 
Descarries, L., & Cenci, M. A. (2010). Maladaptive plasticity of serotonin axon 
terminals in levodopa‐induced dyskinesia. Annals of Neurology, 68(5), 619–628. 
https://doi.org/10.1002/ana.22097 
Rylander Ottosson, D., & Lane, E. (2016). Striatal Plasticity in L-DOPA- and Graft-
Induced Dyskinesia; The Common Link? Frontiers in Cellular Neuroscience, 10. 
https://doi.org/10.3389/fncel.2016.00016 
Sano, I., Gamo, T., Kakimoto, Y., Taniguchi, K., Takesada, M., & Nishinuma, K. (1959). 
Distribution of catechol compounds in human brain. Biochimica et Biophysica Acta, 
32, 586–587. https://doi.org/10.1016/0006-3002(59)90652-3 
Santiago, J. A., Bottero, V., & Potashkin, J. A. (2017). Biological and Clinical 
Implications of Comorbidities in Parkinson’s Disease. Frontiers in Aging 
Neuroscience, 9. https://doi.org/10.3389/fnagi.2017.00394 
Savitt, D., & Jankovic, J. (2019). Targeting α-Synuclein in Parkinson’s Disease: 
Progress Towards the Development of Disease-Modifying Therapeutics. Drugs, 
79(8), 797–810. https://doi.org/10.1007/s40265-019-01104-1 
Schalkamp, A.-K., Rahman, N., Monzón-Sandoval, J., & Sandor, C. (2022). Deep 
phenotyping for precision medicine in Parkinson’s disease. Disease Models & 
115 
 
Mechanisms, 15(6). https://doi.org/10.1242/dmm.049376 
Schenk, D. B., Koller, M., Ness, D. K., Griffith, S. G., Grundman, M., Zago, W., Soto, J., 
Atiee, G., Ostrowitzki, S., & Kinney, G. G. (2017). First-in-human assessment of 
PRX002, an anti-α-synuclein monoclonal antibody, in healthy volunteers. 
Movement Disorders, 32(2), 211–218. https://doi.org/10.1002/mds.26878 
Schernhammer, E., Hansen, J., Rugbjerg, K., Wermuth, L., & Ritz, B. (2011). Diabetes 
and the Risk of Developing Parkinson’s Disease in Denmark. Diabetes Care, 34(5), 
1102–1108. https://doi.org/10.2337/dc10-1333 
Schmidt, M. L., Murray, J., Lee, V. M., Hill, W. D., Wertkin, A., & Trojanowski, J. (1991). 
Epitope map of neurofilament protein domains in cortical and peripheral nervous 
system Lewy bodies. The American Journal of Pathology, 139(1), 53. 
Schmidt, R. H., Björklund, A., & Stenevi, U. (1981). Intracerebral grafting of dissociated 
CNS tissue suspensions: a new approach for neuronal transplantation to deep 
brain sites. Brain Research, 218(1–2), 347–356. https://doi.org/10.1016/0006-
8993(81)91313-5 
Schrag, A. (2002). How valid is the clinical diagnosis of Parkinson’s disease in the 
community? Journal of Neurology, Neurosurgery & Psychiatry, 73(5), 529–534. 
https://doi.org/10.1136/jnnp.73.5.529 
Schuepbach, W. M. M., Rau, J., Knudsen, K., Volkmann, J., Krack, P., Timmermann, L., 
Hälbig, T. D., Hesekamp, H., Navarro, S. M., Meier, N., Falk, D., Mehdorn, M., 
Paschen, S., Maarouf, M., Barbe, M. T., Fink, G. R., Kupsch, A., Gruber, D., 
Schneider, G.-H., … Deuschl, G. (2013). Neurostimulation for Parkinson’s Disease 
with Early Motor Complications. New England Journal of Medicine, 368(7), 610–
622. https://doi.org/10.1056/NEJMoa1205158 
Schultz, W. (1998). Predictive Reward Signal of Dopamine Neurons. Journal of 
Neurophysiology, 80(1), 1–27. https://doi.org/10.1152/jn.1998.80.1.1 
Schweitzer, J. S., Song, B., Herrington, T. M., Park, T.-Y., Lee, N., Ko, S., Jeon, J., 
Cha, Y., Kim, K., Li, Q., Henchcliffe, C., Kaplitt, M., Neff, C., Rapalino, O., Seo, H., 
Lee, I.-H., Kim, J., Kim, T., Petsko, G. A., … Kim, K.-S. (2020). Personalized iPSC-
Derived Dopamine Progenitor Cells for Parkinson’s Disease. New England Journal 
of Medicine, 382(20), 1926–1932. https://doi.org/10.1056/NEJMoa1915872 
Sellnow, R. C., Newman, J. H., Chambers, N., West, A. R., Steece-Collier, K., 
Sandoval, I. M., Benskey, M. J., Bishop, C., & Manfredsson, F. P. (2019). 
Regulation of dopamine neurotransmission from serotonergic neurons by ectopic 
expression of the dopamine D2 autoreceptor blocks levodopa-induced dyskinesia. 
Acta Neuropathologica Communications, 7(1), 8. https://doi.org/10.1186/s40478-
018-0653-7 
Sha, R., Wu, M., Wang, P., Chen, Z., Lei, W., Wang, S., Gong, S., Liang, G., Zhao, R., 
116 
 
& Tao, Y. (2025). Adolescent mice exposed to TBI developed PD-like pathology in 
middle age. Translational Psychiatry, 15(1), 27. https://doi.org/10.1038/s41398-
025-03232-7 
Shen, H., Chen, K., Marino, R. A. M., McDevitt, R. A., & Xi, Z.-X. (2021). Deletion of 
VGLUT2 in midbrain dopamine neurons attenuates dopamine and glutamate 
responses to methamphetamine in mice. Pharmacology Biochemistry and 
Behavior, 202, 173104. https://doi.org/10.1016/j.pbb.2021.173104 
Shen, H., Marino, R. A. M., McDevitt, R. A., Bi, G.-H., Chen, K., Madeo, G., Lee, P.-T., 
Liang, Y., De Biase, L. M., Su, T.-P., Xi, Z.-X., & Bonci, A. (2018). Genetic deletion 
of vesicular glutamate transporter in dopamine neurons increases vulnerability to 
MPTP-induced neurotoxicity in mice. Proceedings of the National Academy of 
Sciences, 115(49). https://doi.org/10.1073/pnas.1800886115 
Shen, W., Plokin, J. L., Zhai, S., & Surmeier, D. J. (2016). Dopaminergic Modulation of 
Glutamatergic Signaling in Striatal Spiny Projection Neurons (pp. 179–196). 
https://doi.org/10.1016/B978-0-12-802206-1.00009-X 
Shimura, H., Hattori, N., Kubo, S., Mizuno, Y., Asakawa, S., Minoshima, S., Shimizu, N., 
Iwai, K., Chiba, T., Tanaka, K., & Suzuki, T. (2000). Familial Parkinson disease 
gene product, parkin, is a ubiquitin-protein ligase. Nature Genetics, 25(3), 302–305. 
https://doi.org/10.1038/77060 
Shin, E., Garcia, J., Winkler, C., Björklund, A., & Carta, M. (2012a). Serotonergic and 
dopaminergic mechanisms in graft-induced dyskinesia in a rat model of Parkinson’s 
disease. Neurobiology of Disease, 47(3). https://doi.org/10.1016/j.nbd.2012.03.038 
Shin, E., Garcia, J., Winkler, C., Björklund, A., & Carta, M. (2012b). Serotonergic and 
dopaminergic mechanisms in graft-induced dyskinesia in a rat model of Parkinson’s 
disease. Neurobiology of Disease, 47(3), 393–406. 
https://doi.org/10.1016/j.nbd.2012.03.038 
Sidransky, E., & Lopez, G. (2012). The link between the GBA gene and parkinsonism. 
The Lancet Neurology, 11(11), 986–998. https://doi.org/10.1016/S1474-
4422(12)70190-4 
Sidransky, E., Nalls, M. A., Aasly, J. O., Aharon-Peretz, J., Annesi, G., Barbosa, E. R., 
Bar-Shira, A., Berg, D., Bras, J., Brice, A., Chen, C.-M., Clark, L. N., Condroyer, C., 
De Marco, E. V., Dürr, A., Eblan, M. J., Fahn, S., Farrer, M. J., Fung, H.-C., … 
Ziegler, S. G. (2009). Multicenter Analysis of Glucocerebrosidase Mutations in 
Parkinson’s Disease. New England Journal of Medicine, 361(17), 1651–1661. 
https://doi.org/10.1056/NEJMoa0901281 
Silva, B., Einarsdóttir, Ó., Fink, A., & Uversky, V. (2013). Biophysical Characterization of 
α-Synuclein and Rotenone Interaction. Biomolecules, 3(3), 703–732. 
https://doi.org/10.3390/biom3030703 
117 
 
Simon, K. C., Chen, H., Schwarzschild, M., & Ascherio, A. (2007). Hypertension, 
hypercholesterolemia, diabetes, and risk of Parkinson disease. Neurology, 69(17), 
1688–1695. https://doi.org/10.1212/01.wnl.0000271883.45010.8a 
Smith, G. A., Breger, L. S., Lane, E. L., & Dunnett, S. B. (2012). Pharmacological 
modulation of amphetamine-induced dyskinesia in transplanted hemi-parkinsonian 
rats. Neuropharmacology, 63(5), 818–828. 
https://doi.org/10.1016/j.neuropharm.2012.06.011 
Smith, G. A., Heuer, A., Klein, A., Vinh, N.-N., Dunnett, S. B., & Lane, E. L. (2012). 
Amphetamine-Induced Dyskinesia in the Transplanted Hemi-Parkinsonian Mouse. 
Journal of Parkinson’s Disease, 2(2), 107–113. https://doi.org/10.3233/JPD-2012-
12102 
Smith, K. A., Pahwa, R., Lyons, K. E., & Nazzaro, J. M. (2016). Deep Brain Stimulation 
for Parkinson’s Disease: Current Status and Future Outlook. Neurodegenerative 
Disease Management, 6(4), 299–317. https://doi.org/10.2217/nmt-2016-0012 
Smith, L., & Schapira, A. H. V. (2022). GBA Variants and Parkinson Disease: 
Mechanisms and Treatments. Cells, 11(8). https://doi.org/10.3390/cells11081261 
Smith, Y., Bevan, M., Shink, E., & Bolam, J. (1998). Microcircuitry of the direct and 
indirect pathways of the basal ganglia.  Neuroscience, 86(2), 353–387. 
Snow, B. J., Macdonald, L., Mcauley, D., & Wallis, W. (2000). The effect of amantadine 
on levodopa-induced dyskinesias in Parkinson’s disease: a double-blind, placebo-
controlled study. Clinical Neuropharmacology, 23(2), 82–85. 
Soderstrom, K. E., Meredith, G., Freeman, T. B., McGuire, S. O., Collier, T. J., Sortwell, 
C. E., Wu, Q., & Steece-Collier, K. (2008). The synaptic impact of the host immune 
response in a parkinsonian allograft rat model: Influence on graft-derived aberrant 
behaviors. Neurobiology of Disease, 32(2). 
https://doi.org/10.1016/j.nbd.2008.06.018 
Soderstrom, K. E., O’Malley, J. A., Levine, N. D., Sortwell, C. E., Collier, T. J., & Steece-
Collier, K. (2010). Impact of dendritic spine preservation in medium spiny neurons 
on dopamine graft efficacy and the expression of dyskinesias in parkinsonian rats. 
European Journal of Neuroscience, 31(3). https://doi.org/10.1111/j.1460-
9568.2010.07077.x 
Sourkes, T. L., & Poirier, L. (1965). Influence of the Substantia Nigra on the 
Concentration of 5-Hydroxytryptamine and Dopamine of the Striatum. Nature, 
207(4993), 202–203. https://doi.org/10.1038/207202a0 
Spillantini, M. G., Crowther, R. A., Jakes, R., Hasegawa, M., & Goedert, M. (1998). α-
Synuclein in filamentous inclusions of Lewy bodies from Parkinson’s disease and 
dementia with Lewy bodies. Proceedings of the National Academy of Sciences, 
95(11), 6469–6473. https://doi.org/10.1073/pnas.95.11.6469 
118 
 
Steece-Collier, K., & Collier, T. J. (2016). Cell Therapy in Parkinson’s Disease (pp. 873–
888). https://doi.org/10.1016/B978-0-12-802206-1.00044-1 
Steece-Collier, K., Rademacher, D. J., & Soderstrom, K. E. (2012). Anatomy of graft-
induced dyskinesias: Circuit remodeling in the parkinsonian striatum. In Basal 
Ganglia (Vol. 2, Issue 1). https://doi.org/10.1016/j.baga.2012.01.002 
Steece‐Collier, K., Stancati, J. A., Collier, N. J., Sandoval, I. M., Mercado, N. M., 
Sortwell, C. E., Collier, T. J., & Manfredsson, F. P. (2019). Genetic silencing of 
striatal CaV1.3 prevents and ameliorates levodopa dyskinesia. Movement 
Disorders, 34(5), 697–707. https://doi.org/10.1002/mds.27695 
Stenevi, U., Bjo¨rklund, A., & Svendgaard, N.-A. (1976). Transplantation of central and 
peripheral monoamine neurons to the adult rat brain: Techniques and conditions for 
survival. Brain Research, 114(1), 1–20. https://doi.org/10.1016/0006-
8993(76)91003-9 
Stephens, B., Mueller, A. J., Shering, A. F., Hood, S. H., Taggart, P., Arbuthnott, G. W., 
Bell, J. E., Kilford, L., Kingsbury, A. E., Daniel, S. E., & Ingham, C. A. (2005). 
Evidence of a breakdown of corticostriatal connections in Parkinson’s disease. 
Neuroscience, 132(3), 741–754. 
https://doi.org/10.1016/j.neuroscience.2005.01.007 
Stoddard-Bennett, T., & Reijo Pera, R. (2019). Treatment of Parkinson’s Disease 
through Personalized Medicine and Induced Pluripotent Stem Cells. Cells, 8(1), 26. 
https://doi.org/10.3390/cells8010026 
Stoker, T. B., & Barker, R. A. (2020). Recent developments in the treatment of 
Parkinson’s Disease. F1000Research, 9, 862. 
https://doi.org/10.12688/f1000research.25634.1 
Straccia, G., Colucci, F., Eleopra, R., & Cilia, R. (2022). Precision Medicine in 
Parkinson’s Disease: From Genetic Risk Signals to Personalized Therapy. Brain 
Sciences, 12(10), 1308. https://doi.org/10.3390/brainsci12101308 
Sulzer, D., Joyce, M. P., Lin, L., Geldwert, D., Haber, S. N., Hattori, T., & Rayport, S. 
(1998). Dopamine Neurons Make Glutamatergic Synapses In Vitro. The Journal of 
Neuroscience, 18(12), 4588–4602. https://doi.org/10.1523/JNEUROSCI.18-12-
04588.1998 
Sun, Y., Chang, Y.-H., Chen, H.-F., Su, Y.-H., Su, H.-F., & Li, C.-Y. (2012). Risk of 
Parkinson Disease Onset in Patients With Diabetes. Diabetes Care, 35(5), 1047–
1049. https://doi.org/10.2337/dc11-1511 
Surmeier, D. J., Obeso, J. A., & Halliday, G. M. (2017). Parkinson’s Disease Is Not 
Simply a Prion Disorder. The Journal of Neuroscience, 37(41), 9799–9807. 
https://doi.org/10.1523/JNEUROSCI.1787-16.2017 
119 
 
Swistowski, A., Peng, J., Liu, Q., Mali, P., Rao, M. S., Cheng, L., & Zeng, X. (2010). 
Efficient Generation of Functional Dopaminergic Neurons from Human Induced 
Pluripotent Stem Cells Under Defined Conditions  . Stem Cells, 28(10), 1893–1904. 
https://doi.org/10.1002/stem.499 
Tagare, H. D., DeLorenzo, C., Chelikani, S., Saperstein, L., & Fulbright, R. K. (2017). 
Voxel-based logistic analysis of PPMI control and Parkinson’s disease DaTscans. 
NeuroImage, 152, 299–311. https://doi.org/10.1016/j.neuroimage.2017.02.067 
Takahashi, J. (2018). Stem cells and regenerative medicine for neural repair. Current 
Opinion in Biotechnology, 52, 102–108. 
https://doi.org/10.1016/j.copbio.2018.03.006 
Takahashi, K., Tanabe, K., Ohnuki, M., Narita, M., Ichisaka, T., Tomoda, K., & 
Yamanaka, S. (2007). Induction of Pluripotent Stem Cells from Adult Human 
Fibroblasts by Defined Factors. Cell, 131(5), 861–872. 
https://doi.org/10.1016/j.cell.2007.11.019 
Takahashi, K., & Yamanaka, S. (2006). Induction of Pluripotent Stem Cells from Mouse 
Embryonic and Adult Fibroblast Cultures by Defined Factors. Cell, 126(4), 663–676. 
https://doi.org/10.1016/j.cell.2006.07.024 
Tanaka, H., Kannari, K., Maeda, T., Tomiyama, M., Suda, T., & Matsunaga, M. (1999). 
Role of serotonergic neurons in L-DOPA-derived extracellular dopamine in the 
striatum of 6-OHDA-lesioned rats. NeuroReport, 10(3), 631–634. 
https://doi.org/10.1097/00001756-199902250-00034 
Tanaka, K., Suzuki, T., Chiba, T., Shimura, H., Hattori, N., & Mizuno, Y. (2001). Parkin 
is linked to the ubiquitin pathway. Journal of Molecular Medicine, 79(9), 482–494. 
https://doi.org/10.1007/s001090100242 
Tanner, C. M., & Goldman, S. M. (1996). EPIDEMIOLOGY OF PARKINSON’S 
DISEASE. Neurologic Clinics, 14(2), 317–335. https://doi.org/10.1016/S0733-
8619(05)70259-0 
Tanner, C. M., Kamel, F., Ross, G. W., Hoppin, J. A., Goldman, S. M., Korell, M., 
Marras, C., Bhudhikanok, G. S., Kasten, M., Chade, A. R., Comyns, K., Richards, 
M. B., Meng, C., Priestley, B., Fernandez, H. H., Cambi, F., Umbach, D. M., Blair, 
A., Sandler, D. P., & Langston, J. W. (2011). Rotenone, Paraquat, and Parkinson’s 
Disease. Environmental Health Perspectives, 119(6), 866–872. 
https://doi.org/10.1289/ehp.1002839 
Thacker, E. L., Chen, H., Patel, A. V., McCullough, M. L., Calle, E. E., Thun, M. J., 
Schwarzschild, M. A., & Ascherio, A. (2008). Recreational physical activity and risk 
of Parkinson’s disease. Movement Disorders, 23(1), 69–74. 
https://doi.org/10.1002/mds.21772 
Theka, I., Caiazzo, M., Dvoretskova, E., Leo, D., Ungaro, F., Curreli, S., Managò, F., 
120 
 
Dell’Anno, M. T., Pezzoli, G., Gainetdinov, R. R., Dityatev, A., & Broccoli, V. (2013). 
Rapid Generation of Functional Dopaminergic Neurons From Human Induced 
Pluripotent Stem Cells Through a Single-Step Procedure Using Cell Lineage 
Transcription Factors. Stem Cells Translational Medicine, 2(6), 473–479. 
https://doi.org/10.5966/sctm.2012-0133 
Thompson, W. (1890a). The center for vision: Being an investigation into the occipital 
lobes of the dog, cat and monkey. Researches of the Loomis Laboratory of the 
Medical Department of the University of the City of New York. 1, 13–37. 
Thompson, W. (1890b). SUCCESSFUL BRAIN GRAFTING. Science, ns-16(392), 78–
79. https://doi.org/10.1126/science.ns-16.392.78-a 
Thomson, J. A., Itskovitz-Eldor, J., Shapiro, S. S., Waknitz, M. A., Swiergiel, J. J., 
Marshall, V. S., & Jones, J. M. (1998). Embryonic Stem Cell Lines Derived from 
Human Blastocysts. Science, 282(5391), 1145–1147. 
https://doi.org/10.1126/science.282.5391.1145 
Tiller-Borcich, J. K., & Forno, L. S. (1988). Parkinson’s Disease and Dementia with 
Neuronal Inclusions in the Cerebral Cortex: Lewy Bodies or Pick Bodies. Journal of 
Neuropathology & Experimental Neurology, 47(5), 526–535. 
https://doi.org/10.1097/00005072-198809000-00004 
Tolosa, E., Garrido, A., Scholz, S. W., & Poewe, W. (2021). Challenges in the diagnosis 
of Parkinson’s disease. The Lancet Neurology, 20(5), 385–397. 
https://doi.org/10.1016/S1474-4422(21)00030-2 
Tolosa, E., Wenning, G., & Poewe, W. (2006). The diagnosis of Parkinson’s disease. 
The Lancet Neurology, 5(1), 75–86. https://doi.org/10.1016/S1474-4422(05)70285-
4 
Trinh, J., & Farrer, M. (2013). Advances in the genetics of Parkinson disease. Nature 
Reviews Neurology, 9(8), 445–454. https://doi.org/10.1038/nrneurol.2013.132 
Tronci, E., Fidalgo, C., & Carta, M. (2015). Foetal Cell Transplantation for Parkinson’s 
Disease: Focus on Graft-Induced Dyskinesia. Parkinson’s Disease, 2015, 1–6. 
https://doi.org/10.1155/2015/563820 
Trudeau, L.-E., Hnasko, T. S., Wallén-Mackenzie, Å., Morales, M., Rayport, S., & 
Sulzer, D. (2014). The multilingual nature of dopamine neurons (pp. 141–164). 
https://doi.org/10.1016/B978-0-444-63425-2.00006-4 
Uchikado, H., Lin, W.-L., DeLucia, M. W., & Dickson, D. W. (2006). Alzheimer Disease 
With Amygdala Lewy Bodies. Journal of Neuropathology and Experimental 
Neurology, 65(7), 685–697. https://doi.org/10.1097/01.jnen.0000225908.90052.07 
Uversky, V. N. (2003). A Protein-Chameleon: Conformational Plasticity of α-Synuclein, a 
Disordered Protein Involved in Neurodegenerative Disorders. Journal of 
121 
 
Biomolecular Structure and Dynamics, 21(2), 211–234. 
https://doi.org/10.1080/07391102.2003.10506918 
Valente, E. M., Abou-Sleiman, P. M., Caputo, V., Muqit, M. M. K., Harvey, K., Gispert, 
S., Ali, Z., Del Turco, D., Bentivoglio, A. R., Healy, D. G., Albanese, A., Nussbaum, 
R., González-Maldonado, R., Deller, T., Salvi, S., Cortelli, P., Gilks, W. P., 
Latchman, D. S., Harvey, R. J., … Wood, N. W. (2004). Hereditary Early-Onset 
Parkinson’s Disease Caused by Mutations in PINK1. Science, 304(5674), 1158–
1160. https://doi.org/10.1126/science.1096284 
Van Den Eeden, S. K. (2003). Incidence of Parkinson’s Disease: Variation by Age, 
Gender, and Race/Ethnicity. American Journal of Epidemiology, 157(>11), 1015–
1022. https://doi.org/10.1093/aje/kwg068 
Venton, B. J., Zhang, H., Garris, P. A., Phillips, P. E. M., Sulzer, D., & Wightman, R. M. 
(2003). Real‐time decoding of dopamine concentration changes in the caudate–
putamen during tonic and phasic firing. Journal of Neurochemistry, 87(5), 1284–
1295. https://doi.org/10.1046/j.1471-4159.2003.02109.x 
Vijayakumar, D., & Jankovic, J. (2016). Drug-Induced Dyskinesia, Part 1: Treatment of 
Levodopa-Induced Dyskinesia. Drugs, 76(7), 759–777. 
https://doi.org/10.1007/s40265-016-0566-3 
Villalba, R. M., & Smith, Y. (2018). Loss and remodeling of striatal dendritic spines in 
Parkinson’s disease: from homeostasis to maladaptive plasticity? Journal of Neural 
Transmission, 125(3), 431–447. https://doi.org/10.1007/s00702-017-1735-6 
Wang, Y.-K., Zhu, W.-W., Wu, M.-H., Wu, Y.-H., Liu, Z.-X., Liang, L.-M., Sheng, C., 
Hao, J., Wang, L., Li, W., Zhou, Q., & Hu, B.-Y. (2018). Human Clinical-Grade 
Parthenogenetic ESC-Derived Dopaminergic Neurons Recover Locomotive Defects 
of Nonhuman Primate Models of Parkinson’s Disease. Stem Cell Reports, 11(1), 
171–182. https://doi.org/10.1016/j.stemcr.2018.05.010 
Williams, D. R. (2006). Predictors of falls and fractures in bradykinetic rigid syndromes: 
a retrospective study. Journal of Neurology, Neurosurgery & Psychiatry, 77(4), 
468–473. https://doi.org/10.1136/jnnp.2005.074070 
Winkler, C., Kirik, D., & Björklund, A. (2005). Cell transplantation in Parkinson’s disease: 
how can we make it work? Trends in Neurosciences, 28(2), 86–92. 
https://doi.org/10.1016/j.tins.2004.12.006 
Winkler, C., Kirik, D., Björklund, A., & Cenci, M. A. (2002). l-DOPA-Induced Dyskinesia 
in the Intrastriatal 6-Hydroxydopamine Model of Parkinson’s Disease: Relation to 
Motor and Cellular Parameters of Nigrostriatal Function. Neurobiology of Disease, 
10(2), 165–186. https://doi.org/10.1006/nbdi.2002.0499 
Worth, P. F. (2013). When the going gets tough: how to select patients with Parkinson’s 
disease for advanced therapies. Practical Neurology, 13(3), 140–152. 
122 
 
https://doi.org/10.1136/practneurol-2012-000463 
Wyss-Coray, T. (2016). Ageing, neurodegeneration and brain rejuvenation. Nature, 
539(7628), 180–186. https://doi.org/10.1038/nature20411 
Xu, Q., Park, Y., Huang, X., Hollenbeck, A., Blair, A., Schatzkin, A., & Chen, H. (2011). 
Diabetes and Risk of Parkinson’s Disease. Diabetes Care, 34(4), 910–915. 
https://doi.org/10.2337/dc10-1922 
Xu, Z. C., Wilson, C. J., & Emson, P. C. (1989). Restoration of the corticostriatal 
projection in rat neostriatal grafts: electron microscopic analysis. Neuroscience, 
29(3), 539–550. https://doi.org/10.1016/0306-4522(89)90129-2 
Xu, Z. C., Wilson, C. J., & Emson, P. C. (1991). Restoration of thalamostriatal 
projections in rat neostriatal grafts: An electron microscopic analysis. Journal of 
Comparative Neurology, 303(1), 22–34. https://doi.org/10.1002/cne.903030104 
Yamada, H., Aimi, Y., Nagatsu, I., Taki, K., Kudo, M., & Arai, R. (2007). 
Immunohistochemical detection of l-DOPA-derived dopamine within serotonergic 
fibers in the striatum and the substantia nigra pars reticulata in Parkinsonian model 
rats. Neuroscience Research, 59(1), 1–7. 
https://doi.org/10.1016/j.neures.2007.05.002 
Yamamoto, B. K., & Davy, S. (1992). Dopaminergic Modulation of Glutamate Release in 
Striatum as Measured by Microdialysis. Journal of Neurochemistry, 58(5), 1736–
1742. https://doi.org/10.1111/j.1471-4159.1992.tb10048.x 
Yamashita, R., Beck, G., Yonenobu, Y., Inoue, K., Mitsutake, A., Ishiura, H., Hasegawa, 
M., Murayama, S., & Mochizuki, H. (2022). TDP ‐43 Proteinopathy 
Presenting with Typical Symptoms of Parkinson’s Disease. Movement Disorders, 
37(7), 1561–1563. https://doi.org/10.1002/mds.29048 
Yang, W., Hamilton, J. L., Kopil, C., Beck, J. C., Tanner, C. M., Albin, R. L., Ray Dorsey, 
E., Dahodwala, N., Cintina, I., Hogan, P., & Thompson, T. (2020). Current and 
projected future economic burden of Parkinson’s disease in the U.S. Npj 
Parkinson’s Disease, 6(1), 15. https://doi.org/10.1038/s41531-020-0117-1 
Yuan, Y., Yan, W., Sun, J., Huang, J., Mu, Z., & Chen, N.-H. (2015). The molecular 
mechanism of rotenone-induced α-synuclein aggregation: Emphasizing the role of 
the calcium/GSK3β pathway. Toxicology Letters, 233(2), 163–171. 
https://doi.org/10.1016/j.toxlet.2014.11.029 
Zaja-Milatovic, S., Milatovic, D., Schantz, A. M., Zhang, J., Montine, K. S., Samii, A., 
Deutch, A. Y., & Montine, T. J. (2005). Dendritic degeneration in neostriatal medium 
spiny neurons in Parkinson disease. Neurology, 64(3), 545–547. 
https://doi.org/10.1212/01.WNL.0000150591.33787.A4 
Zesiewicz, T. A., Sullivan, K. L., & Hauser, R. A. (2007). Levodopa-induced Dyskinesia 
123 
 
in Parkinson’s disease: Epidemiology, etiology, and treatment. Current Neurology 
and Neuroscience Reports, 7(4), 302–310. https://doi.org/10.1007/s11910-007-
0046-y 
Zhang, Y., Meredith, G. E., Mendoza-Elias, N., Rademacher, D. J., Tseng, K. Y., & 
Steece-Collier, K. (2013). Aberrant Restoration of Spines and their Synapses in L-
DOPA-Induced Dyskinesia: Involvement of Corticostriatal but Not Thalamostriatal 
Synapses. Journal of Neuroscience, 33(28), 11655–11667. 
https://doi.org/10.1523/JNEUROSCI.0288-13.2013 
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CHAPTER 2: ADVANCING CELL-BASED THERAPY FOR PARKINSON’S DISEASE 
THROUGH THE SCOPE OF PRECISION MEDICINE 
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UNDERSTANDING THE COMPLEXITY OF PATIENT RESPONSE TO PD THERAPY 
Introduction to Precision Medicine 
Precision medicine, also referred to as personalized medicine, is a conceptual 
framework that aims to tailor treatment for an individual based on his or her 
characteristics (Collins & Varmus, 2015; Schneider & Alcalay, 2020). While the 
traditional approach is to prescribe one established treatment for all patients (Figure 
2.1a), using a precision medicine approach considers an individual’s biology, 
environment, and lifestyle when developing or prescribing treatment (Figure 2.1b). 
Precision medicine may additionally focus more specifically on genetic profiles, cell 
types, biomarkers, and molecular pathways in order to achieve the most effective 
therapeutic intervention for the patient (Collins & Varmus, 2015; Payami, 2017). One 
long-term goal of precision medicine, especially for neurodegenerative disease, is to 
diagnose a patient at the earliest stages of the disease so that the proper, most effective 
treatment can be initiated as soon as possible. As clinical medicine continues to 
advance, using a precision medicine approach will likely evolve from a 
diagnosis/treatment focus to more of an emphasis on prevention of disease.  
While precision medicine is not a new concept, it has recently begun to be put 
into practice more regularly in healthcare. Just a decade ago, in 2015, the Precision 
Medicine Initiative (PMI) was launched in the United States by former President Barack 
Obama. The NIH awarded this initiative approximately $55 million in order to build its 
infrastructure so that advances could be made toward a new era of precision medicine 
(Payami, 2017). The advancements we have made since then with technologies such 
as genome sequencing, pharmacogenetics, Big Data, and artificial intelligence (AI) have 
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drastically accelerated our progress of implementing a precision-medicine-based 
approach to clinical care and preclinical research. A powerful example of the impact that 
precision medicine has had thus far is demonstrated in the field of oncology: oncologists 
work to identify anatomical spread, biology, and possible genetic changes that could 
have triggered the growth of cancer cells in a specific patient (Espay et al., 2017; Sherer 
et al., 2016). In this way, scientists and doctors have been able to develop precise, 
successful treatments based on certain characteristics of a patient’s cancer. 
Precision Medicine in Parkinson’s Disease 
Although precision medicine in oncology has had substantial success, precision 
medicine approaches for other diseases and disorders such as PD require more 
attention. Unlike oncology, one of the challenges in neurology is the limited availability 
of tissue biopsies for histological and biochemical analyses of individual patients. This, 
unfortunately, makes it difficult to identify biomarkers for neurological and 
neurodegenerative diseases (Keller et al., 2012; Schalkamp et al., 2022). Specifically, in 
PD, personalized medicine has not yet been fully realized largely due to the immense 
heterogeneity in the clinical manifestation of the disorder (Mishima et al., 2021). Among 
the 9.3 million people who live with PD worldwide, age of onset, rate of progression, and 
severity of symptoms vary dramatically, even in individuals who have the same 
mutations in at-risk genes (e.g., LRRK2) (Espay et al., 2017; Maserejian et al., 2020; 
Schalkamp et al., 2022). The ultimate problem for PD, then, is trying to get one 
treatment to work for all patients (Payami, 2017). 
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Figure 2.1: Precision medicine in Parkinson’s disease (PD). 
(a) The traditional approach to treating all patients with PD. This is considered a “one-
size-fits-all approach in which, despite differences in age of onset, disease severity, sex, 
patients  receive  similar  pharmacological  interventions  (e.g.,  levodopa  or  dopamine 
agonists).  With  this  approach,  only  a  small  population  of  patients  will  demonstrate 
significant efficacy of the prescribed therapeutic. Others may develop adverse reactions, 
and another subpopulation of patients may experience no benefit or detriment at all. (b) 
Examples of a precision-medicine-based approach for patients with PD. Each individual 
patient may exhibit differences in genetic profiles, biomarkers, and/or molecular pathways 
and should be treated accordingly. As the scientific community continues to investigate 
the  intricacies  of  PD,  more  precise  treatments  are  being  developed  which  will  provide 
safe and effective treatments for all patients, not just a small population.  
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Heterogeneity in Clinical Response to PD-related Therapy 
A prominent example of the heterogeneous nature of PD is an individual’s 
differential response to levodopa, the mainstay pharmacological therapeutic for PD. 
Levodopa is generally effective in treating motor symptoms of PD; however, the clinical 
response for each patient remains highly variable. As mentioned previously in Chapter 
1, in early-stage PD patients who received the same dose of levodopa, responses 
ranged from a 100% improvement to a 242% worsening of UPDRS Part III scores 
(Hauser et al., 2009). This variability suggests that various biochemical mechanisms are 
involved, requiring differential treatment approaches (i.e., precision medicine) between 
patients (Stoddard-Bennett & Pera, 2019).  
Currently, the heterogeneity in PD is being extensively studied. Yet, underlying 
characteristics and mechanisms remain unclear. In line with differential responses to 
levodopa, some studies have pointed to certain mutations and/or single nucleotide 
polymorphisms (SNPs) that have been associated with side effect development from 
chronic levodopa use including LID. Specifically, carriers of a polymorphism in the DA 
active transporter 1 gene (DAT1), a gene involved in DA reuptake, are 2.5 times more 
likely to develop LID (Cacabelos, 2017; Moreau et al., 2015; Stoddard-Bennett & Pera, 
2019). Another study recounted that there was a dose-dependent association between 
a variant in the GRIN2A gene (which encodes for the NR2A subunit of the N-methyl-D-
aspartate (NMDA) glutamatergic receptor) and susceptibility to LID behavior (Ivanova et 
al., 2012).  
One of the most prominent SNPs that has been linked to differential patient 
responses to levodopa (e.g., LID) is a common SNP known as rs6265 found within the 
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gene for brain-derived neurotrophic factor (BDNF) (see (Martinez-Carrasco et al., 2023) 
for other SNPs). In a retrospective analysis conducted by Fischer and colleagues, 
rs6265-carriers (aka heterozygous Val/Met or homozygous Met/Met) who received 
levodopa monotherapy reported worse UPDRS scores compared to wild-type (Val/Val; 
WT) subjects (~6 points worse) (Fischer et al., 2020). Met-allele carriers also exhibited a 
higher risk of developing LID earlier in treatment in contrast to their WT counterparts 
(Fischer et al., 2020; Foltynie et al., 2009). Alternatively to levodopa monotherapy, 
however, unmedicated Met-allele carriers presented a lower severity of motor symptoms 
compared to WT patients. Disease progression was slower for unmedicated Met-allele 
carriers, confirmed by a delayed need for levodopa (Fischer et al., 2018). Met-allele 
carriers also had a 5.3-year later age of onset of PD (Białecka et al., 2014; 
Karamohamed et al., 2005a).  
ROLE OF BDNF IN HETEROGENETIY OF CLINICAL RESPONSE TO PD THERAPY 
Large portions of this section were reproduced from (Szarowicz et al., 2022) with 
permission from the publisher.  
Current research has added to our understanding of the global risk factors (e.g., 
age, disease severity) of cell transplantation (see Chapter 1). However, the role of 
specific genetic variations remained entirely unexplored until recent studies conducted 
by our group which focused on the rs6265 SNP in the BDNF gene (see (Mercado et al., 
2021, 2024). Because of promising evidence of the role of rs6265 in heterogenetic 
responses to levodopa therapy, and the biological relevance of BDNF (detailed below), 
our laboratory utilized a precision-medicine-based approach to investigate whether 
rs6265 was a risk factor that impacts therapeutic efficacy of DA neuron transplantation 
130 
 
therapy for PD. Structure, function, and significance of BDNF as a critical neurotrophic 
factor is first discussed in-depth below.  
Introduction to BDNF 
BDNF is a neurotrophin that functions to regulate and promote neuronal survival, 
differentiation, and outgrowth of central and peripheral neurons (Gonzalez et al., 2016; 
Kowiański et al., 2018; Liu et al., 2018; Park & Poo, 2013; Sasi et al., 2017; Urbina-
Varela et al., 2020; Zagrebelsky et al., 2020). Other members of the mammalian 
neurotrophin family include nerve growth factor (NGF), neurotrophin 3 (NT-3), and 
neurotrophin 4/5 (NT-4/5), and they share more than a 50% sequence homology in their 
primary structure with BDNF (Al-Qudah & Al-Dwairi, 2016). NGF was the first 
neurotrophin to be discovered by Rita Levi-Montalcini and Viktor Hamburger in the 
1950s (Levi‐Montalcini & Hamburger, 1951, 1953). Using chick embryos, their work 
described the observation that neurons die when they lack contact with their targets; 
research which led to their later revelation that the target was a critical source of a 
diffusible growth factor eventually identified as NGF (Levi‐Montalcini & Hamburger, 
1951, 1953). In 1982, a few decades following this discovery, BDNF was isolated by 
Yves-Alain Barde and Hans Thoenen from pig brain (Barde et al., 1982). Their research 
demonstrated that this novel growth factor could induce neuronal outgrowth and survival 
of cultured embryonic chick sensory neurons (Barde et al., 1982), supporting the 
“neurotrophic hypothesis” developed by Levi-Montalcini and Hamburger (Levi‐Montalcini 
& Hamburger, 1951). Although BDNF had a similar molecular weight to NGF, its 
functional capacities were distinct, and NGF neutralizing antibodies were not able to 
block its survival-promoting activity (Levi‐Montalcini & Hamburger, 1953). Follow-up 
131 
 
cloning experiments established the identity of BDNF with a unique sequence and 
structure (Leibrock et al., 1989). 
Nearly all brain regions have been reported to contain BDNF at varying 
concentrations, but its specific function depends on stage of development as well as the 
composition of neuronal, glial, and vascular constituents present in the anatomical 
region (Kowiański et al., 2018). BDNF is abundant in the cortex, hippocampus, and 
visual cortex. It is also found in the STR, the SN, and ventral tegmental areas (VTA), 
though BDNF found in the STR is supplied by cortical and nigral DA neuron afferent 
projections and not the local neurons themselves (Baydyuk & Xu, 2014). This trophic 
factor is not solely abundant in the central nervous system (CNS) but is also released in 
appreciable amounts in the peripheral nervous system (PNS) and by other non-
neuronal cells including lymphocytes, microglia, megakaryocytes, endothelial cells, and 
smooth muscle cells (Brigadski & Lessmann, 2020). BDNF production and signaling is 
critical for a vast array of neurophysiological processes including, but not limited to, 
neuronal survival, dendritic spine development, synaptogenesis, neurite outgrowth, 
neuroprotection, long-term potentiation (LTP), and long-term depression (LTD) (for 
review (Gonzalez et al., 2016; Kowiański et al., 2018; Park & Poo, 2013; Sasi et al., 
2017; Zagrebelsky et al., 2020)). BDNF has also been found to be a necessary factor in 
neurogenesis and osteogenesis in human bone both in vitro and in vivo (Liu et al., 2018; 
Urbina-Varela et al., 2020). 
BDNF Gene Structure and Isoform Processing 
The human BDNF gene is located on chromosome 11p13-14 and is composed of 
multiple noncoding exons and one coding exon. There are 11 exons that can be 
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alternatively spliced to produce a minimum of 17 transcripts, but each transcript 
generates the same final protein product (Aid et al., 2007; Cattaneo et al., 2016; Vaghi 
et al., 2014). Of the 11 exons, 9 fall within the 5’ region (Notaras & van den Buuse, 
2019). The BDNF messenger ribonucleic acid (mRNA) transcripts that contain exons II 
and VII are exclusively expressed in the brain, whereas the transcripts containing exons 
I, IV, and V are expressed in peripheral tissue; exons VI and IX are broadly expressed 
(Urbina-Varela et al., 2020). BDNF transcription terminates at two polyadenylation sites 
within exon IX, thus giving rise to two distinct mRNA populations including short (0.35 
kb) or long (2.85 kb) 3’ untranslated regions (UTR) (Cohen-Cory et al., 2010; Notaras & 
van den Buuse, 2019; Urbina-Varela et al., 2020). These two distinct populations have 
differing localizations: short UTR BDNF (exon I and IV) transcripts are found in the cell 
soma, whereas long UTR BDNF transcripts (exon II and IV) are trafficked to dendrites to 
regulate dendritic morphology and affect LTP (Chiaruttini et al., 2009; Notaras & van 
den Buuse, 2019). 
The major coding sequence of BDNF is present in exon IX at the 3’ end and is 
translated into an inactive precursor polypeptide (i.e., preproBDNF) in the rough 
endoplasmic reticulum (ER) (Brigadski & Lessmann, 2020; Cattaneo et al., 2016; 
Pruunsild et al., 2007). Within the rough ER, the signal sequence is immediately 
cleaved to yield the 28- to 32-kDa isoform proBDNF (Brigadski & Lessmann, 2020; 
Notaras & van den Buuse, 2019) which is comprised of an N-terminal prodomain and C-
terminal mature domain (Figure 2.2a). Post-translational modifications including N-
linked glycosylation of the prodomain, as well as sulfation of the N-linked 
oligosaccharides, can take place as the proBDNF neurotrophins migrate from the Golgi 
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apparatus to the trans-Golgi network (TGN). The processing of proBDNF continues via 
cleavage by intracellular proteolytic enzymes in the TGN (i.e., furin) or by convertases 
present in intracellular secretory vesicles for extracellular export (Pang et al., 2016). A 
portion of full-length proBDNF proteins is also released and can subsequently bind the 
high affinity receptor, p75NTR (R. Lee et al., 2001). After release from the cell, 
extracellular processing of proBDNF by plasmin or matrix metalloproteases (e.g., MMP-
2, MMP-9) can also occur (Figure 2.2b) (Brigadski & Lessmann, 2020; R. Lee et al., 
2001; Mizoguchi et al., 2011; Pang et al., 2016). Processing of the preproBDNF yields 
three distinct active isoforms: the ~30kDa proBDNF, the ~13kDa mature BDNF 
(mBDNF), and the ~17kDa BDNF pro-peptide (McGregor & English, 2019) (Figure 2.2).  
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Figure 2.2: BDNF Gene Structure, Processing, and Secretion. 
a) Schematic representation of human BDNF gene structure and isoforms. Grey boxes 
represent exons; exon IX (blue) contains the major coding sequence of BDNF (Brigadski 
& Lessmann, 2020; Cattaneo et al., 2016; Pruunsild et al., 2007). b) Following translation 
into  preproBDNF  in  the  ER,  the  signaling  sequence  is  cleaved,  and  proBDNF  is 
transported through the Golgi apparatus to the trans-Golgi network. Here, proBDNF can 
be cleaved by intracellular proteolytic enzymes sorting into the constitutive or regulated 
pathways  (Brigadski  &  Lessmann,  2020;  Pang  et  al.,  2016).  ProBDNF  can  also  be 
cleaved  within  the  vesicles  or  extracellularly,  generating  mBDNF  and  the  BDNF  pro-
peptide  (McGregor  &  English,  2019).  c)  The  common  SNP  rs6265  (aka  Val66Met)  is 
located within the prodomain region of the BDNF gene and results a substitution of valine  
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Figure 2.2 (cont’d)  
(Val) for methionine (Met) at codon (G/A) 66. (Baj & Tongiorgi, 2009; Colucci-D’amato et 
al.,  2020).  Abbreviations:  pro-peptide  =  cleaved  BDNF  pro-peptide;  mBDNF/BDNF  = 
mature BDNF; proBDNF = BDNF isoform with pro-domain and mature domain. 
BDNF Sorting and Release 
Two distinct pathways of secretion exist for proBDNF and mBDNF: the 
constitutive and the regulated pathways. The constitutive pathway involves packaging 
BDNF into small-diameter granules that release BDNF independently of calcium 
fluctuation (Al-Qudah & Al-Dwairi, 2016). The majority of BDNF is packaged for release 
via the regulated pathway into larger granules that fuse to the plasma membrane in 
response to a calcium-dependent trigger (Figure 2.2b). Thus, the regulated release of 
BDNF occurs during activity-dependent depolarization (Al-Qudah & Al-Dwairi, 2016; 
Brigadski & Lessmann, 2020; Lessmann & Brigadski, 2009; Wong et al., 2015) (Figure 
2.2b). Proper sorting and secretion of BDNF is critical for the maintenance of synaptic 
plasticity, neuronal survival, and CNS homeostasis (Al-Qudah & Al-Dwairi, 2016; 
Brigadski & Lessmann, 2020; Cunha et al., 2010; Mizui et al., 2015). As such, disruption 
of BDNF sorting and/or secretion has been implicated in various neurodegenerative and 
psychiatric diseases. While the specific molecular mechanisms associated with 
improper BDNF secretion remain largely uncertain, current evidence correlates 
reductions of hippocampal and cortical volumes (Frodl et al., 2006), formation of 
abnormal synapses (Mercado et al., 2021), and decreases in dendritic complexity (Z. Y. 
Chen et al., 2006; Egan et al., 2003) as consequences of dysfunctional BDNF sorting 
and reduced secretion. 
For the regulated pathway, two binding interactions drive sorting of BDNF into 
vesicles. The BDNF prodomain/pro-peptide region binds directly to either sortilin, a 
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vacuolar protein sorting 10 (Vps10) domain-containing molecule, or carboxypeptidase E 
(Brigadski & Lessmann, 2020; Notaras & van den Buuse, 2019). Sortilin contains a 
transmembrane region and a cytoplasmic tail responsible for signaling endosome 
sorting in the Golgi apparatus (Notaras & van den Buuse, 2019). Sortilin and BDNF 
have been observed to colocalize within large dense-core vesicles, and sortilin 
truncation mutations result in impaired sorting of BDNF to the regulated pathway, 
subsequently decreasing activity-dependent release (Z. Y. Chen et al., 2005). Similarly, 
membrane-bound carboxypeptidase E is a glycoprotein that binds BDNF, and 
knockdown of carboxypeptidase E in mice has also demonstrated a reduction of 
downstream activity-dependent BDNF release (Lou et al., 2005; Notaras & van den 
Buuse, 2019). After being sorted into large dense-core vesicles of the regulated 
pathway, BDNF is generally trafficked to the axon where it can be degraded by the 
lysosome (Evans et al., 2011) or secreted into the synaptic cleft in response to neuronal 
activation where it can activate two classes of receptors, TrkB and p75NTR (defined 
below) (Carvalho et al., 2008; Lu et al., 2014; Skaper, 2018). While the majority of 
BDNF is transported anterogradely, approximately 23% of BDNF is retrogradely 
transported to dendrites, although the biological significance of its retrograde trafficking 
has yet to be elucidated (Adachi et al., 2005; Dieni et al., 2012; Notaras & van den 
Buuse, 2019). 
BDNF Signaling 
Neurotrophins are known to bind to two classes of receptors: a tropomyosin 
receptor kinase (Trk) and a pan neurotrophin receptor (p75NTR) which is a member of 
the tumor necrosis factor super family (Reichardt, 2006) (Figure 2.3). More specifically, 
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proBDNF binds with high affinity to p75NTR (R. B. Meeker & Williams, 2015; Reichardt, 
2006) (Figure 2.3a). In contrast, mBDNF preferentially binds to its high affinity receptor, 
TrkB, following its release into the synapse (Carvalho et al., 2008; Skaper, 2018) 
(Figure 2.3b). While mBDNF can also bind p75NTR, it does so with low affinity (Binder & 
Scharfman, 2004). Additionally, the BDNF prodomain/pro-peptide region binds directly 
to sortilin, thereby participating in proper sorting of this molecule to its regulated 
pathway (Z. Y. Chen et al., 2005). 
proBDNF and p75NTR 
ProBDNF binds to p75NTR upon release, stimulating nuclear factor kappa B (NF-
κB), c-Jun N-terminal Kinases (JNKs), and Ras homolog family member A (RhoA) 
signaling that modulate survival, apoptosis, and growth cone motility, respectively (M. V. 
Chao, 2003; Kowiański et al., 2018; Reichardt, 2006; Teng et al., 2005) (Figure 2.3a). 
The specific cascade that is activated is dependent on which receptors are complexed 
with p75NTR. For instance, when complexed with sortilin, pro-apoptotic pathways are 
activated (Friedman, 2000; R. B. Meeker & Williams, 2015). Recent evidence indicates 
that signaling through p75NTR can also synergistically aid in TrkB activation (Hempstead, 
2006; R. Meeker & Williams, 2014; Zanin et al., 2019). Specifically, p75NTR can 
heterodimerize with TrkB, increasing TrkB binding affinity for mBDNF, thus promoting 
neuronal growth and survival (R. B. Meeker & Williams, 2015; R. Meeker & Williams, 
2014; Zanin et al., 2019). 
mBDNF and TrkB 
Upon mBDNF binding to full-length TrkB, TrkB dimerizes and autophosphorylates 
several of its tyrosine kinase residues including Y705 and Y706 in the cytoplasmic loop 
138 
 
of the kinase domain, as well as Y515 and Y816 (Diniz et al., 2018; Notaras & van den 
Buuse, 2019). Multiple signaling pathways can be triggered once TrkB is activated 
including the phosphatidylinositol 3-kinase (PI3K), the phospholipase-C-γ1 (PLC-γ1), 
the guanosine triphosphate hydrolases of RhoA, and the mitogen-activated protein 
kinase (MAPK)/Ras cascades (reviewed in (M. V. Chao, 2003; Reichardt, 2006; Segal, 
2003)). The PI3K pathway engages in pro-survival activity and enhances dendritic 
growth and branching (Jaworski et al., 2005; Kumar et al., 2005). The MAPK/Ras 
signaling cascade controls protein synthesis during neuronal differentiation (Molina & 
Adjei, 2006). Lastly, growth of neuronal fibers is activated via activation of RhoA (Figure 
2.3b) (Kowiański et al., 2018; Reichardt, 2006). 
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Figure 2.3: Schematic representations of conventional proBDNF and mBDNF 
signaling cascades. 
a) ProBDNF binds with high affinity to p75NTR, initiating downstream JNK, RhoA, and NF-
kB  signaling  (M.  V.  Chao,  2003;  Kowiański  et  al.,  2018;  Reichardt,  2006;  Teng  et  al., 
2005).  b)  mBDNF  binds  with  high  affinity  to  TrkB,  inducing  its  dimerization  and 
autophosphorylation  and  activating  three  main  signaling  pathways,  PI3K,  PLCγ,  and 
Ras/MAPK,  all  of  which  lead  to  activation  of  the  transcription  factor  CREB,  driving 
transcription  of  genes  crucial  for  neuronal  growth  and  survival  (Mitre  et  al.,  2017; 
Reichardt,  2006;  Segal,  2003).  RhoA  signaling  and  mTOR  pathways  can  also  be 
activated leading to growth cone modulation and translation of proteins involved in the 
regulation of cellular proliferation (Diniz et al., 2018; Kumar et al., 2005; R. B. Meeker & 
Williams, 2015; Notaras & van den Buuse, 2019). 
140 
 
 
 
 
 
It is widely accepted that the proBDNF and mBDNF ligands induce opposing 
outcomes through their preferential binding to different receptors in order to promote 
neurological homeostasis (Kowiański et al., 2018). Specifically, mBDNF-TrkB signaling 
stimulates neuronal growth and synaptic plasticity, whereas signaling through 
p75NTR tends to initiate apoptosis thought to be important in development for eliminating 
inessential neurons (Friedman, 2000; Teng et al., 2005). Moreover, while mBDNF 
signaling is instrumental in driving hippocampal LTP, proBDNF promotes LTD 
(Deinhardt et al., 2011; Sakuragi et al., 2013; Woo et al., 2005; Yang et al., 2014). 
Because of homeostatic regulation, the expression of p75NTR and TrkB are known to be 
tightly linked where they are co-expressed on the surface of the cell to establish 
signaling between cell survival and cell death (Notaras & van den Buuse, 2019). 
Homeostasis can therefore be disrupted when there is an imbalance in the expression 
of these receptors or an imbalance in the levels of proBDNF and mBDNF isoforms. For 
example, research conducted by Suelves and colleagues (Suelves et al., 2019) 
examined the consequences of BDNF/TrkB/p75NTR imbalance in a Huntington’s disease 
(HD) mouse model, showing that the reduction of BDNF and TrkB levels, along with an 
increase in p75NTR expression, correlated with striatal neuropathology and motor 
dysfunction. Pharmacological normalization of p75NTR levels rescued neuropathology 
(e.g., dendritic spine density) and motor deficits (Brito et al., 2013; Suelves et al., 2019). 
In addition to changes in receptor levels/balance, increased proBDNF levels 
have been correlated with adverse outcomes in neurodegenerative disorders. 
Specifically, in mice expressing one BDNF allele with a mutated cleavage site, 
hippocampal proBDNF levels rose and promoted a decrease in dendritic arborization as 
141 
 
well as hippocampal volume (Diniz et al., 2018; Yang et al., 2014). Further reinforcing 
the importance of homeostatic balance in brain health, in PD, serum levels of proBDNF 
have been reported to be significantly higher in individuals with early PD as compared 
to heathy controls, whereas mBDNF levels were significantly lower (X. Yi et al., 2021). 
Collectively, an abundance of data indicate that tight control of both BDNF ligands and 
their receptors is critical for proper neuronal function and/or survival. 
BDNF Pro-Peptide and Sortilin 
It has been demonstrated that BDNF pro-peptide binding to sortilin drives proper 
sorting of BDNF into vesicles of the regulated secretory pathway (Z. Y. Chen et al., 
2005). In addition, the BDNF prodomain (pro-peptide), once cleaved from proBDNF, 
appears to function as an independent ligand similar to proBDNF and mBDNF isoforms 
(Anastasia et al., 2013; Mizui et al., 2016, 2017). Upon cleavage from proBDNF and its 
subsequent release, the BDNF pro-peptide binds to sortilin and complexes with p75NTR, 
resulting in various effects on the BDNF signaling cascade, neuronal survival, and 
synaptic plasticity (Anastasia et al., 2013; Z. Y. Chen et al., 2005; Giza et al., 2018; 
Mizui et al., 2016, 2017), although specific mechanisms and downstream pathways 
remain to be elucidated. 
PD and BDNF 
While dysfunction in BDNF signaling is not considered a primary cause of PD, it 
has long been known to be important for survival and development of SNpc DA neurons 
(Hyman et al., 1991; Yurek & Fletcher-Turner, 2001). In addition, there is abundant 
literature demonstrating that, in the aged brain, there is diminished BDNF, diminished 
upregulation in response to stress, reduced expression of several BDNF transcription 
142 
 
factors, and decreased expression of its TrkB receptor (for review (Mercado et al., 
2017)). Given that the primary risk factor for PD is aging, and given the critical role of 
BDNF in the well-being of SNpc DA neurons, BDNF dysfunction has been abundantly 
explored in PD. 
Current evidence has demonstrated reduced expression of BDNF mRNA 
transcripts in the SNpc in PD (Howells et al., 2000; Murer et al., 2001) as well as lower 
levels of BDNF protein specifically in the SN of individuals with PD compared to other 
brain regions, and significantly reduced serum BDNF (Scalzo et al., 2010). In addition to 
decreases in BDNF transcript levels, Scalzo and colleagues (Scalzo et al., 2010) have 
demonstrated that decreased BDNF levels are also detectable in serum of individuals 
with PD compared to healthy individuals and that concentrations were correlated with 
PD symptom severity (Scalzo et al., 2010) (Figure 2.4a). However, as the disease 
progresses, BDNF levels have been shown to increase (Knott et al., 2002; Scalzo et al., 
2010; Ventriglia et al., 2013), thought to be a compensatory mechanism in later disease 
states. 
In addition to changes in BDNF in PD, expression of TrkB receptors, which have 
high expression in SNpc neurons (Jin, 2020), has been shown to be altered in 
individuals with PD with evidence of isoform-specific alterations. For instance, levels of 
truncated TrkB have been reported to decrease in axons of the striatum, whereas levels 
were reported to increase in the striatal soma and distal dendrites of the SN in 
individuals with PD (Fenner et al., 2014). Full-length TrkB levels, in contrast, were found 
to be decreased in striatal neurites and in the cell soma of dendrites, but levels were  
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Figure 2.4: Summary of altered BDNF expression levels and consequences of the 
rs6265 SNP in neurodegenerative and psychiatric disorders. 
(a) Decreased BDNF mRNA and protein expression in various regions of the brain in PD 
(Baquet et al., 2004; Howells et al., 2000; Y. Huang et al., 2018; Razgado-Hernandez et 
al., 2015; Scalzo et al., 2010), AD (Hock et al., 2000; Narisawa-Saito et al., 1996; Peng 
et  al.,  2005;  Phillips  et  al.,  1991),  HD  (Ferrer  et  al.,  2000;  Knott  et  al.,  2002),  MDD 
(Dwivedi et al., 2003; Januar et al., 2015; Lima Giacobbo et al., 2019; Molendijk et al., 
2014; Pandey et al., 2008; Shimizu et al., 2003), and schizophrenia  (Hashimoto et al., 
2005; Reinhart et al., 2015; Weickert et al., 2003, 2005; Xiu et al., 2009). (b) Associations 
of rs6265 SNP expression and disease state including therapeutic efficacy, age of onset, 
and  susceptibility  to  the  disease:  PD  (Drozdzik  et  al.,  2014;  Fischer  et  al.,  2018; 
Karamohamed et al., 2005b; Sortwell et al., 2021), AD (Borroni et al., 2009; Fukumoto et 
al.,  2010;  Laing  et  al.,  2012),  HD  (Alberch  et  al.,  2005),  MDD  (Hosang  et  al.,  2014; 
Losenkov et al., 2020; Pei et al., 2012), Schizophrenia (H. M. Chao et al., 2008; Gratacòs 
et al., 2007; Kheirollahi et al., 2016; Suchanek et al., 2013; Z. Yi et al., 2011). (c) BDNF 
replacement strategies currently being implemented preclinically and clinically (reviewed 
in (Zuccato & Cattaneo, 2009)).  
144 
 
 
higher  in  cell  somas  and  axons  of  the  striatum  and  SNpc,  respectively  (Fenner  et  al., 
2014; Mitre et al., 2017). These findings are corroborated in mouse models of PD where 
reduced levels of BDNF protein in the SNpc results in a reduction in DA neurons as well 
as a subsequent decrease in striatal DA (Baquet et al., 2004; Porritt et al., 2005). Further, 
haplo-insufficiency of the BDNF receptor, TrkB, in transgenic mice has been associated 
with degeneration of SNpc DA neurons over time and in association with aging (for review 
(Mercado et al., 2017)). 
Utilizing BDNF as a Potential Therapeutic  
Overall, BDNF levels are negatively correlated in neurodegenerative and 
psychiatric disorders (Figure 2.4a). Therefore, many BDNF-targeted therapies aim to 
raise the levels of BDNF either exogenously or endogenously. Exogenous application of 
BDNF through direct infusion has been demonstrated to be beneficial to varying 
degrees in numerous animal studies (Altar et al., 1994; Arancibia et al., 2008; Deng et 
al., 2016; Hung & Lee, 1996). As a neuroprotective agent in PD models against DA 
neuron toxins such as 6-OHDA or MPTP, BDNF is effective at protecting SH-SY5Y 
neuroblastoma neurons in vitro and can modestly protect against 6-OHDA in vivo (Altar 
et al., 1994). Despite promising outcomes from select research conducted in preclinical 
animal models, a large-scale clinical trial involving oral BDNF supplementation at 
dosages of 50–100 mg/day in patients with amyotrophic lateral sclerosis (ALS) did not 
significantly increase patient survival (Bradley, 1999). In a clinical trial involving 
intrathecal delivery of BDNF to ALS patients, doses of 150 mg/day were well tolerated; 
however, conclusions about treatment efficacy were unable to be drawn due to small 
sample sizes (Ochs et al., 2000). However, a later trial also using intrathecal BDNF for 
145 
 
ALS found a lack of clinical efficacy (Kalra et al., 2003). These disappointing clinical trial 
results could, in part, be due to the poor pharmacokinetics of BDNF.  
The pharmacokinetics of neurotrophins are complex, making BDNF 
administration for brain therapeutics especially difficult. Neurotrophins are large, sticky 
molecules that cannot readily cross the blood-brain-barrier, have short half-lives 
reported to be 30 min or less (Habtemariam, 2018), inefficiently diffuse into tissues 
(Zuccato & Cattaneo, 2009), and approaches like intrathecal delivery result in broad 
exposure to nontargeted structures, thus limiting their scope of effectiveness (Zuccato & 
Cattaneo, 2009). If pharmacokinetic barriers could be overcome, consideration needs to 
be given to therapeutic concentrations of BDNF intended for delivery as well as the 
availability and status of TrkB receptors. Specifically, exogenous administration of BDNF 
in regions with significant reductions in TrkB expression, which is known to occur in PD 
and AD, could severely limit therapeutic benefit. In addition, excessive levels of BDNF 
could also have a negative impact. Not only can higher concentrations of BDNF 
downregulate TrkB expression, but excessive amounts of BDNF can lead to unwanted 
side effects such as seizures, fever, weight loss, fatigue, and diarrhea (Mitre et al., 
2017). Molecularly, excess BDNF can likewise have a negative effect on synaptic 
circuitry, learning, and memory by inducing hyper-excitation in regions such as the 
hippocampus (Yeom et al., 2016). Keeping the above challenges in mind, non-
pharmacological methods of BDNF delivery bear potential. 
BDNF Gene- and Cell-Based Therapy 
A promising non-pharmacological therapeutic technique is in vivo BDNF gene de-
livery. This technique involves utilizing viral vectors to transduce host cells with the 
146 
 
BDNF gene for downstream endogenous in situ mRNA and protein production. In this 
way, the high concentrations of local BDNF production in specific regions will ideally 
protect degenerating neurons in diseases such as PD, HD, and AD (Nagahara & 
Tuszynski, 2011). Preclinically, in a post-stroke depression rat model, intranasal delivery 
of a BDNF-encoding adeno-associated viral vector (AAV-BDNF) increased BDNF mRNA 
and protein in the prefrontal cortex, alleviating depressive-like symptoms (C. Chen et 
al., 2020). Additionally, preventative intrastriatal injections of AAV-BDNF reduced the 
loss of NeuN, a pan neuronal maker, in a lesioned rat model of HD, therefore providing 
neural protection (Kells et al., 2004). Although clinical trials of gene therapy that 
intended to supplement another neurotrophic factor (i.e., GDNF or neurturin) for 
neuroprotection against PD have been conducted, results are not yet promising 
(Manfredsson et al., 2020; Marks et al., 2010; Merola et al., 2020). Moreover, it remains 
unknown if it is clinically viable to target low BDNF levels in neurodegenerative or 
psychiatric disorders via gene therapy. 
Another available BDNF-targeting gene therapy involves an ex vivo autologous 
approach for neuroregeneration. Briefly, cells such as fibroblasts are taken from the 
subject, genetically modified to produce BDNF, and then transplanted back into the cell 
donor’s brain. Like in vivo methods, this strategy could allow for the sustained release of 
BDNF locally in specific brain regions but advantageously would be poised to avoid 
immune rejection. Levivier and colleagues showed that genetically modified fibroblasts 
were able to prevent degeneration induced by 6-OHDA in a rat model of PD (Levivier et 
al., 1995). Likewise, in a quinolinic acid toxin model of HD, rat fibroblasts were 
genetically engineered to produce BDNF and transplanted back into the rat brain, 
147 
 
resulting in the protection of striatal neurons as compared to control animals (Kells et 
al., 2004). Similarly, mesenchymal stem cells (MSCs) genetically altered to overexpress 
BDNF have been shown to reduce neuropathological and behavioral deficits in rodent 
models of HD, suggesting that these approaches have considerable potential for clinical 
use (for review (Crane et al., 2014)). 
Gene therapy, whether viral vector-mediated or autologous transplantation of 
genetically modified cells, holds strong promise but is not without caveats (Baum et al., 
2003, 2004). In general, local release of BDNF is difficult to tightly regulate genetically, 
and as introduced above, overproduction of BDNF can be detrimental to the circuitry of 
the brain (Yeom et al., 2016; Zuccato & Cattaneo, 2009). In addition, both approaches 
involve invasive surgical protocols; however, in the scope of neurosurgery methods that 
are much more aggressive (e.g., tumor resection), the approach for vector or cell graft 
delivery is minimally invasive and straightforward. Of additional concern is immune 
response to viral vectors and the associated products of foreign transgenes (Bulaklak & 
Gersbach, 2020). However, as recently reviewed, current efforts and advances in 
clinical trials have led to advances to circumvent immune obstacles including modifying 
AAV capsids to evade pre-existing neutralizing antibodies and development of new 
methods for clearing of antibodies from circulation (for review (Bulaklak & Gersbach, 
2020)). With the advent of new DNA modification techniques, it is not beyond the realm 
of possibilities that novel gene therapy approaches could be applied in the future. In 
addition, given that ex vivo autologous treatment was well tolerated, and symptom 
improvement was demonstrated in AD (Nagahara & Tuszynski, 2011; Tuszynski et al., 
148 
 
2005), this approach remains hopeful to those suffering from neurodegenerative or 
neurological disorders. 
BDNF Mimetics 
One of the most promising BDNF-related administration strategies involves the 
use of BDNF mimetics. These are small molecules designed to mimic the binding loops 
of BDNF, resulting in the phosphorylation and activation of TrkB and its downstream 
effectors, AKT and ERK (Du & Hill, 2015; Kazim & Iqbal, 2016; Zuccato & Cattaneo, 
2009). The use of small molecules allows for the delivery of controlled dosages with 
improved pharmacokinetics compared to full-length BDNF. Mimetics have shown 
improved diffusivity, blood-brain-barrier permeability, and augmented receptor specificity 
with less promiscuity (Cardenas-Aguayo et al., 2013; Du & Hill, 2015; Kazim & Iqbal, 
2016; Zainullina et al., 2021). These compounds, however, would require repeat dosing 
and would not be brain region-specific in targeting, potentially trafficking to areas where 
their engagement is not advantageous (Kazim & Iqbal, 2016; Longo & Massa, 2013). 
Two common BDNF mimetics are 7,8-dihyrodxyflavone (DHF) and GSB-106. 
7,8-DHF is a naturally occurring flavonoid responsible for binding and initiating TrkB 
signaling pathways. 7,8-DHF application has been investigated in many 
neurodegenerative and neurological disorders including PD and AD (Bollen et al., 2013; 
Devi & Ohno, 2012; Jang et al., 2010). For example, in a comprehensive report by Jang 
and colleagues (Jang et al., 2010), 7,8-DHF was documented in mice to specifically 
activate TrkB in the brain, to diminish kainic acid-induced toxicity in the hippocampus, to 
decrease infarct volumes in a middle cerebral artery occlusion model of stroke, and it 
was neuroprotective in a MPTP model of Parkinson’s disease (Jang et al., 2010). 
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Additionally, in a mouse model of AD, cognitive deficits were restored after 7,8-DHF 
administration (Bollen et al., 2013; Devi & Ohno, 2012). Collectively, these studies 
support the idea that 7,8-DHF may be a therapeutic mimetic worth implementing in a 
wide range of disorders. 
Another common mimetic is bis-(N-monosuccinyl-L-seryl-L-lysine) hexameth-
ylenediamide, also referred to as GSB-106, and it mimics the interaction between the 
TrkB receptor and BDNF via loop 4 of BDNF. Like 7,8-DHF, GSB-106 administration 
elicits neuroprotective properties by preventing apoptosis in SH-SY5Y cells through the 
suppression of caspase-3 activity (Zainullina et al., 2021). As reviewed in (Gudasheva, 
Povarnina, et al., 2021), GSB-106 has also been shown to have a variety of TrkB-
mediated neuroprotective effects as well as reduce depressive-like symptoms in a 
mouse model of depression where administration increased locomotor activity and 
reduced signs of anhedonia (Gudasheva, Povarnina, et al., 2021; Gudasheva, 
Tallerova, et al., 2021). Studies focused on these two BDNF mimetics demonstrate that 
these small molecules represent potentially useful treatment approaches for those with 
neurodegenerative diseases such as PD. Continued preclinical and clinical 
development are needed so that their therapeutic effects can be optimized to the 
greatest extent. 
Diet and Exercise 
Diet and exercise are widely accessible, non-invasive, low-cost treatments that 
are of interest for neurodegenerative and neurological conditions. Preclinical studies in 
various animal models confirm that dietary and exercise regimens increase BDNF levels 
in the brain and improve cognitive and behavioral functions (Duan et al., 2001; 
150 
 
Fahnestock et al., 2012; Maswood et al., 2004; Mattson et al., 2002; Zuccato & 
Cattaneo, 2007, 2009). For example, Fahnestock and colleagues (Fahnestock et al., 
2012) demonstrated that implementing a diet high in antioxidants in aged dogs 
increased BDNF(Fisher et al., 2008; Herman et al., 2007; Stuckenschneider et al., 
2016) transcripts to levels which were comparative to the young dog cohort (Fahnestock 
et al., 2012). Additionally, restricting the diet of 3-month-old male Sprague Dawley rats 
to an alternate day feeding regimen compared to ad libitum increased BDNF levels in 
multiple brain regions including the cortex, striatum, and hippocampus (Duan et al., 
2001). There also is a wealth of data suggesting that exercise provides neuroprotection 
in multiple animal models of PD (Fredriksson et al., 2011; Lau et al., 2011; Petzinger et 
al., 2007; Tajiri et al., 2010; Toy et al., 2014; Tuon et al., 2012; Wu et al., 2011) with 
additional indications that it improves motor symptoms and quality of life in individuals 
with PD. Studies using heterozygous deletion of BDNF (Gerecke et al., 2012) or 
inhibition of BDNF TrkB receptors (Real et al., 2013) demonstrate that BDNF is 
essential for the beneficial effects of exercise on the neuroprotection of the nigrostriatal 
DA system in PD rodent models. 
In patients with depression, exercise was found to induce significant increases in 
serum levels of BDNF levels in all assessed participants (Szuhany et al., 2015). After 
sprint interval training, BDNF levels were increased directly afterward, then returned to 
baseline within 90 minutes in eight male subjects (Reycraft et al., 2020). A number of 
genes, including BDNF, are associated with risk for post-traumatic stress disorder 
(PTSD) (Voisey et al., 2019). Intriguingly, in combat veterans with PTSD, active exercise 
reduced methylation of the BDNF gene at specific CpG sites, resulting in normalized 
151 
 
gene expression of BDNF as compared to those without active exercise (Voisey et al., 
2019). Although there are many studies reporting that diet and exercise lead to 
increased BDNF levels (Duan et al., 2001; Fahnestock et al., 2012; Reycraft et al., 
2020), the specific mechanisms responsible have yet to be elucidated. In the context of 
BDNF as a therapeutic target, understanding and harnessing the benefits of diet and 
exercise on BDNF function could lead to vital non-invasive treatments geared toward 
improving not only neurodegenerative or psychiatric conditions but general patient 
quality of life. 
Genetic Polymorphisms of BDNF 
Remarkably, more than one hundred polymorphisms have been described in the 
BDNF gene (Tudor et al., 2018; Urbina-Varela et al., 2020). While many known variants 
exist within non-coding regions, understanding of their functional consequences 
remains limited. However, the most extensively studied SNP is the Val66Met (G196A, 
rs6265) polymorphism within the prodomain region of the BDNF gene. Other less well-
studied variants exist within this region including Thr2I1e (rs8192466), Gln75His 
(rs1048221), Arg125Met (rs1048220), and Arg127Leu (rs1048221) and are reviewed 
elsewhere (R. Huang et al., 2007; Notaras & van den Buuse, 2019; Shen et al., 2018; 
Urbina-Varela et al., 2020). 
rs6265 (Val66Met) 
The rs6265 BDNF SNP, or Val66Met, results from a nucleotide exchange from 
guanine to adenine at position 196 (G196A). This change results in a substitution of 
valine to methionine at codon 66, thus referred to as Val66Met (Anastasia et al., 2013) 
(see Figure 2.2c). An individual can be heterozygous (Val66Met) or homozygous 
152 
 
(Met66Met) for this SNP. The prevalence of this SNP worldwide is approximately 20%, 
with certain populations in East Asia reporting an incidence up to 72% (Mercado et al., 
2021; Petryshen et al., 2010; Tsai, 2018). Found in the prodomain region of the BDNF 
gene, this substitution creates binding interference between the BDNF prodomain/pro-
peptide of proBDNF to sortilin. The consequential result, and subsequent hallmark of 
this polymorphism, is a decrease in activity-dependent release of BDNF, with no 
reported alterations in constitutive release (Egan et al., 2003; Urbina-Varela et al., 
2020). The reduction in BDNF release is dose-dependent with homozygous subjects 
showing significantly less release compared to heterozygous subjects (Met/Met > 
Val/Met > Val/Val) (Mercado et al., 2021). 
Several studies have documented a variety of neuropathologies associated with 
the decrease in secreted mBDNF linked to rs6265 including reduction of hippocampal 
and cortical volume, abnormal synaptic connections, and decreased dendritic 
complexity and arborization (Z. Y. Chen et al., 2006; Chiaruttini et al., 2009; Egan et al., 
2003; Frodl et al., 2006; Y. Lee et al., 2013; Mercado et al., 2021). The functional 
consequences of this common genetic variant are wide-reaching and have been 
documented to impact memory and cognition, anxiety, and depression, and have been 
associated with obsessive compulsive disorder (OCD), attention deficit hyperactivity 
disorder (ADHD), schizophrenia, multiple sclerosis (MS), blepharospasm, and migraines 
(Cai et al., 2017; Z. Y. Chen et al., 2006; Di Carlo et al., 2019; Egan et al., 2003; Frodl et 
al., 2006; Y. Lee et al., 2013; Mei et al., 2022; Shang et al., 2022; Siokas et al., 2019). 
Such pathology may be linked to evidence demonstrating that the BDNF Val66Met 
substitution can result in binding disruption of the translin/trax complex to BDNF mRNA 
153 
 
transcripts, subsequently compromising transport of transcripts to dendrites which is 
critical for synaptic plasticity and dendritic complexity (Chiaruttini et al., 2009; Cohen-
Cory et al., 2010; Notaras & van den Buuse, 2019). As a consequence, decreased 
BDNF trafficking to dendrites may have negative implications in multiple 
neurodevelopmental and neurological disorders (Chiaruttini et al., 2009; Di Carlo et al., 
2019). 
In addition, decreased BDNF levels/signaling (i.e., rs6265) have been implicated 
in several neurodegenerative disorders including AD, PD, and HD (Figure 2.4b). How 
the expression of this common human genetic variant impacts PD is highlighted below 
as the aforementioned brain maladies (e.g., AD, HD) are beyond the scope of this thesis 
research. Please see Figure 2.4 for more details regarding BDNF in these other 
neurodegenerative and neurological disorders.  
rs6265 and PD 
Although expression of the BDNF rs6265 Met allele is not correlated with an 
increased incidence of PD, it may contribute to worsening non-motor symptomology 
(Fedosova et al., 2021; Gorzkowska et al., 2021; Shen et al., 2018). For example, 
apathy is one of the most common non-motor neuropsychiatric symptoms of PD 
(Gorzkowska et al., 2021), and although not statistically significant, PD individuals who 
were homozygous for the Met allele (i.e., Met/Met) were reportedly more likely to display 
apathetic emotions compared to those without the Met/Met genotype. Moreover, the 
risks of impulsive-compulsive and related behavioral disorders are also statistically 
correlated in individuals with PD when expressing the rs6265 SNP (Fedosova et al., 
2021). 
154 
 
An important distinction of Met allele carriers with PD has been in their response 
to certain pharmacotherapies including levodopa treatment (see full discussion above in 
the “Heterogeneity” section). Specifically, it has recently been reported that Met allele 
carriers, homozygous or heterozygous, reported worse UPDRS scores when 
administered levodopa monotherapy compared to their homozygous Val allele carrier 
counterparts (Fischer et al., 2020; Sortwell et al., 2021). Individuals expressing the Met 
allele were also found to have a higher risk of developing the often debilitating side 
effect known as LID earlier in their treatment compared to homozygous Val allele 
carriers (Drozdzik et al., 2014; Foltynie et al., 2009). 
To contrast these negative correlations of the Met allele, in unmedicated PD 
patients, a lower severity of motor symptoms has been observed in the initial stages of 
the disease in BDNF variant individuals (Fischer et al., 2018). Although homozygous 
Met-allele carriers tended to have more tremor-like symptoms, the progression of the 
disease was slower, with delayed need for levodopa administration compared to Val 
allele carriers (Fischer et al., 2018). Along with this notable decrease in severity of 
motor symptoms, a later age of onset of PD was reported in homozygous Met allele 
individuals compared to their Val/Val and Val/Met counterparts with one cohort reporting 
a 5.3-year later age of onset (Białecka et al., 2014; Karamohamed et al., 2005a) 
(Figure 2.4b). In contrast, Svetel et al., 2013 reported that the presence of the Met 
allele was not associated with clinical characteristics of PD including age of onset and 
disease severity (Svetel et al., 2013). 
155 
 
HETEROGENEITY IN SIDE EFFECT LIABLITY OF CELL TRANSPLANTATION 
GID and the rs6265 BDNF SNP  
As discussed previously in Chapter 1, a subpopulation of patients developed 
graft-induced dyskinesia (GID) as a side effect following primary DA neuron 
transplantation in clinical trials for PD (Freed et al., 2001; Olanow et al., 2003). Now, 
after decades of rigorous preclinical research following the enacted moratorium in the 
early 2000s (Hagell & Cenci, 2005), several clinical grafting trials for PD are now 
planned or ongoing (Barker et al., 2019); example clinical trial identifiers NCT04802733, 
NCT01898390, NCT03309514, NCT03119636, NCT04146519). A comprehensive list of 
the current planned/ongoing clinical cell transplantation trials are listed in Table 1.1 in 
Chapter 1. While these experiments have strived to optimize patient selection (i.e., age, 
disease severity, cell preparation) prior to transplantation (Barker et al., 2024), the 
underlying mechanisms of aberrant GID behavior remain, to this day, unknown. Until 
GIDs are addressed, neural grafting for PD will not be considered a safe or optimized 
therapeutic option for PD patients. For a comprehensive discussion of the postulated 
mechanisms underlying GID behavior, please see Chapter 1.  
Goals of Current Research 
Because the underlying mechanisms of GID remain a gap in our knowledge, taking 
the necessary actions to fully understand its underlying pathology is the first step in 
developing a precision-medicine approach for neural therapy. The rs6265 SNP, which 
has been implicated in clinical outcomes for levodopa treatment (Fischer et al., 2020), 
and now cell-based therapy (e.g., (Mercado et al., 2021, 2024), points to the rationale 
for continuing research in this area. Therefore, the overarching hypothesis for my 
156 
 
dissertation research centers around a probable role for the rs6265 SNP in the 
underlying mechanisms responsible for the substantial heterogeneity demonstrated in 
grafted patients with PD (i.e., GID development). Indeed, while my predecessor, Dr. 
Natosha Mercado, successfully demonstrated that DA-grafted homozygous rs6265 
(Met/Met) parkinsonian rats exhibit enhanced functional recovery following engraftment 
of WT DA neurons (i.e., earlier and more robust amelioration of LID), she conversely 
demonstrated that DA-grafted Met/Met parkinsonian rats uniquely develop aberrant GID 
compared to WT subjects (Mercado et al., 2021). In order to further her investigations 
into the benefit and detriment of the rs6265 SNP, I endeavored to: 
(1) examine additional host/donor genotype combinations and their impact on graft-
derived efficacy and side effect liability (i.e., GID) (Chapter 3) and 
(2) investigate whether exogenous intrastriatal administration of BDNF would 
replenish the decreased BDNF release in rs6265 Met/Met carriers, induce 
maturation/integration of grafted DA neurons, and ameliorate GID (Chapter 4). 
Considering that BDNF plays a crucial role in proper synapse formation and 
maturation of DA neurons (Gonzalez et al., 2016; Kowiański et al., 2018; Liu et al., 
2018; Park & Poo, 2013; Sasi et al., 2017; Urbina-Varela et al., 2020; Zagrebelsky et al., 
2020), it is biologically reasonable to hypothesize that aberrant and/or immature 
synaptic connectivity between host and donor, permitted by a decrease in activity-
dependent BDNF release (i.e., rs6265), underlies GID behavior. Specifically, as 
introduced in Chapter 1, Soderstrom and colleagues previously demonstrated that GID 
development in DA-grafted parkinsonian rats was associated with atypical, asymmetric 
(presumed glutamatergic) synaptic connections made by the grafted DA neurons 
157 
 
(Soderstrom et al., 2008). Moreover, Dr. Mercado further showed that the DA-grafted 
Met/Met parkinsonian rats that developed GID behavior demonstrated expression of 
vesicular glutamate transporter 2 (VGLUT2) in grafted DA neurons, indicative of an 
immature graft phenotype, and showed immunohistochemical evidence of atypical 
glutamatergic synapse formation.  
Using these findings as a basis for my thesis research, I will provide evidence in the 
next two chapters demonstrating that the homozygous rs6265 (Met/Met) genotype, 
whether found in the host or donor, confers a degree of graft-derived benefit; however, 
the Met/Met parkinsonian hosts engrafted with WT DA neurons remain the only 
host/donor combination to exhibit significant GID behavior (Chapter 3). Additionally, I will 
also demonstrate that, contrary to my hypothesis that BDNF supplementation would 
promote graft maturation and reduction of GID, BDNF supplementation instead 
exacerbated GID behavior in the Met/Met hosts engrafted with WT DA neurons 
(Chapter 4). Finally, my research provides evidence in support of the contention that 
dysregulated DA/glutamate co-transmission and/or excess DA release appear to 
contribute to GID induction.  
158 
 
 
 
 
 
 
 
 
 
 
BIBLIOGRAPHY 
Adachi, N., Kohara, K., & Tsumoto, T. (2005). Difference in trafficking of brain-derived 
neurotrophic factor between axons and dendrites of cortical neurons, revealed by 
live-cell imaging. BMC Neuroscience, 6. https://doi.org/10.1186/1471-2202-6-42 
Aid, T., Kazantseva, A., Piirsoo, M., Palm, K., & Timmusk, T. (2007). Mouse and rat 
BDNF gene structure and expression revisited. Journal of Neuroscience Research, 
85(3). https://doi.org/10.1002/jnr.21139 
Al-Qudah, M. A., & Al-Dwairi, A. (2016). Mechanisms and regulation of neurotrophin 
synthesis and secretion. In Neurosciences (Vol. 21, Issue 4). 
https://doi.org/10.17712/nsj.2016.4.20160080 
Alberch, J., López, M., Badenas, C., Carrasco, J. L., Milà, M., Muñoz, E., & Canals, J. 
M. (2005). Association between BDNF Val66Met polymorphism and age at onset in 
Huntington disease. Neurology, 65(6). 
https://doi.org/10.1212/01.wnl.0000175977.57661.b1 
Altar, C. A., Boylan, C. B., Fritsche, M., Jones, B. E., Jackson, C., Wiegand, S. J., 
Lindsay, R. M., & Hyman, C. (1994). Efficacy of Brain‐Derived Neurotrophic Factor 
and Neurotrophin‐3 on Neurochemical and Behavioral Deficits Associated with 
Partial Nigrostriatal Dopamine Lesions. Journal of Neurochemistry, 63(3). 
https://doi.org/10.1046/j.1471-4159.1994.63031021.x 
Anastasia, A., Deinhardt, K., Chao, M. V., Will, N. E., Irmady, K., Lee, F. S., 
Hempstead, B. L., & Bracken, C. (2013). Val66Met polymorphism of BDNF alters 
prodomain structure to induce neuronal growth cone retraction. Nature 
Communications, 4. https://doi.org/10.1038/ncomms3490 
Arancibia, S., Silhol, M., Moulière, F., Meffre, J., Höllinger, I., Maurice, T., & Tapia-
Arancibia, L. (2008). Protective effect of BDNF against beta-amyloid induced 
neurotoxicity in vitro and in vivo in rats. Neurobiology of Disease, 31(3). 
https://doi.org/10.1016/j.nbd.2008.05.012 
Baj, G., & Tongiorgi, E. (2009). BDNF splice variants from the second promoter cluster 
support cell survival of differentiated neuroblastoma upon cytotoxic stress. Journal 
of Cell Science, 122(1). https://doi.org/10.1242/jcs.033316 
Baquet, Z. C., Gorski, J. A., & Jones, K. R. (2004). Early Striatal Dendrite Deficits 
followed by Neuron Loss with Advanced Age in the Absence of Anterograde 
Cortical Brain-Derived Neurotrophic Factor. Journal of Neuroscience, 24(17). 
https://doi.org/10.1523/JNEUROSCI.3920-03.2004 
Barde, Y. A., Edgar, D., & Thoenen, H. (1982). Purification of a new neurotrophic factor 
from mammalian brain. The EMBO Journal, 1(5). https://doi.org/10.1002/j.1460-
2075.1982.tb01207.x 
159 
 
Barker, R. A., Björklund, A., & Parmar, M. (2024). The history and status of dopamine 
cell therapies for Parkinson’s disease. BioEssays. 
https://doi.org/10.1002/bies.202400118 
Barker, R. A., Farrell, K., Guzman, N. V., He, X., Lazic, S. E., Moore, S., Morris, R., 
Tyers, P., Wijeyekoon, R., Daft, D., Hewitt, S., Dayal, V., Foltynie, T., Kefalopoulou, 
Z., Mahlknecht, P., Lao-Kaim, N. P., Piccini, P., Bjartmarz, H., Björklund, A., … 
Winkler, C. (2019). Designing stem-cell-based dopamine cell replacement trials for 
Parkinson’s disease. Nature Medicine, 25(7), 1045–1053. 
https://doi.org/10.1038/s41591-019-0507-2 
Baum, C., Düllmann, J., Li, Z., Fehse, B., Meyer, J., Williams, D. A., & Von Kalle, C. 
(2003). Side effects of retroviral gene transfer into hematopoietic stem cells. In 
Blood (Vol. 101, Issue 6). https://doi.org/10.1182/blood-2002-07-2314 
Baum, C., von Kalle, C., Staal, F. J. T., Li, Z., Fehse, B., Schmidt, M., Weerkamp, F., 
Karlsson, S., Wagemaker, G., & Williams, D. A. (2004). Chance or necessity? 
Insertional mutagenesis in gene therapy and its consequences. In Molecular 
Therapy (Vol. 9, Issue 1). https://doi.org/10.1016/j.ymthe.2003.10.013 
Baydyuk, M., & Xu, B. (2014). BDNF signaling and survival of striatal neurons. In 
Frontiers in Cellular Neuroscience (Vol. 8, Issue AUG). 
https://doi.org/10.3389/fncel.2014.00254 
Białecka, M., Kurzawski, M., Roszmann, A., Robowski, P., Sitek, E. J., Honczarenko, 
K., Mak, M., Deptuła-Jarosz, M., Gołab-Janowska, M., Droździk, M., & Sławek, J. 
(2014). BDNF G196A (Val66Met) polymorphism associated with cognitive 
impairment in Parkinson’s disease. Neuroscience Letters, 561. 
https://doi.org/10.1016/j.neulet.2013.12.051 
Binder, D. K., & Scharfman, H. E. (2004). Brain-derived neurotrophic factor. In Growth 
Factors (Vol. 22, Issue 3). https://doi.org/10.1080/08977190410001723308 
Bollen, E., Vanmierlo, T., Akkerman, S., Wouters, C., Steinbusch, H. M. W., & 
Prickaerts, J. (2013). 7,8-Dihydroxyflavone improves memory consolidation 
processes in rats and mice. Behavioural Brain Research, 257. 
https://doi.org/10.1016/j.bbr.2013.09.029 
Borroni, B., Grassi, M., Archetti, S., Costanzi, C., Bianchi, M., Caimi, L., Caltagirone, C., 
Di Luca, M., & Padovani, A. (2009). BDNF genetic variations increase the risk of 
Alzheimer’s disease-related depression. Journal of Alzheimer’s Disease, 18(4). 
https://doi.org/10.3233/JAD-2009-1191 
Bradley, W. G. (1999). A controlled trial of recombinant methionyl human BDNF in ALS. 
Neurology, 52(7). https://doi.org/10.1212/wnl.52.7.1427 
Brigadski, T., & Lessmann, V. (2020). The physiology of regulated BDNF release. In 
Cell and Tissue Research (Vol. 382, Issue 1). https://doi.org/10.1007/s00441-020-
160 
 
03253-2 
Brito, V., Puigdellívol, M., Giralt, A., Del Toro, D., Alberch, J., & Ginés, S. (2013). 
Imbalance of p75NTR/TrkB protein expression in Huntington’s disease: Implication 
for neuroprotective therapies. Cell Death and Disease, 4(4). 
https://doi.org/10.1038/cddis.2013.116 
Bulaklak, K., & Gersbach, C. A. (2020). The once and future gene therapy. In Nature 
Communications (Vol. 11, Issue 1). https://doi.org/10.1038/s41467-020-19505-2 
Cacabelos, R. (2017). Parkinson’s Disease: From Pathogenesis to Pharmacogenomics. 
International Journal of Molecular Sciences, 18(3), 551. 
https://doi.org/10.3390/ijms18030551 
Cai, X., Shi, X., Zhang, X., Zhang, A., Zheng, M., & Fang, Y. (2017). The association 
between brain-derived neurotrophic factor gene polymorphism and migraine: a 
meta-analysis. In Journal of Headache and Pain (Vol. 18, Issue 1). 
https://doi.org/10.1186/s10194-017-0725-2 
Cardenas-Aguayo, M. del C., Kazim, S. F., Grundke-Iqbal, I., & Iqbal, K. (2013). 
Neurogenic and Neurotrophic Effects of BDNF Peptides in Mouse Hippocampal 
Primary Neuronal Cell Cultures. PLoS ONE, 8(1). 
https://doi.org/10.1371/journal.pone.0053596 
Carvalho, A. L., Caldeira, M. V., Santos, S. D., & Duarte, C. B. (2008). Role of the brain-
derived neurotrophic factor at glutamatergic synapses. British Journal of 
Pharmacology, 153(SUPPL. 1). https://doi.org/10.1038/sj.bjp.0707509 
Cattaneo, A., Cattane, N., Begni, V., Pariante, C. M., & Riva, M. A. (2016). The human 
BDNF gene: peripheral gene expression and protein levels as biomarkers for 
psychiatric disorders. In Translational psychiatry (Vol. 6, Issue 11). 
https://doi.org/10.1038/tp.2016.214 
Chao, H. M., Kao, H. T., & Porton, B. (2008). BDNF Val66Met variant and age of onset 
in schizophrenia. American Journal of Medical Genetics, Part B: Neuropsychiatric 
Genetics, 147(4). https://doi.org/10.1002/ajmg.b.30619 
Chao, M. V. (2003). Neurotrophins and their receptors: A convergence point for many 
signalling pathways. Nature Reviews Neuroscience, 4(4). 
https://doi.org/10.1038/nrn1078 
Chen, C., Dong, Y., Liu, F., Gao, C., Ji, C., Dang, Y., Ma, X., & Liu, Y. (2020). A study of 
antidepressant effect and mechanism on intranasal delivery of BDNF-HA2TAT/AAV 
to rats with post-stroke depression. Neuropsychiatric Disease and Treatment, 16. 
https://doi.org/10.2147/NDT.S227598 
Chen, Z. Y., Ieraci, A., Teng, H., Dall, H., Meng, C. X., Herrera, D. G., Nykjaer, A., 
Hempstead, B. L., & Lee, F. S. (2005). Sortilin controls intracellular sorting of brain-
161 
 
derived neurotrophic factor to the regulated secretory pathway. Journal of 
Neuroscience, 25(26). https://doi.org/10.1523/JNEUROSCI.1017-05.2005 
Chen, Z. Y., Jing, D., Bath, K. G., Ieraci, A., Khan, T., Siao, C. J., Herrera, D. G., Toth, 
M., Yang, C., McEwen, B. S., Hempstead, B. L., & Lee, F. S. (2006). Genetic 
variant BDNF (Val66Met) polymorphism alters anxiety-related behavior. Science, 
314(5796). https://doi.org/10.1126/science.1129663 
Chiaruttini, C., Vicario, A., Li, Z., Baj, G., Braiuca, P., Wu, Y., Lee, F. S., Gardossi, L., 
Baraban, J. M., & Tongiorgi, E. (2009). Dendritic trafficking of BDNF mRNA is 
mediated by translin and blocked by the G196A (Val66Met) mutation. Proceedings 
of the National Academy of Sciences of the United States of America, 106(38). 
https://doi.org/10.1073/pnas.0902833106 
Cohen-Cory, S., Kidane, A. H., Shirkey, N. J., & Marshak, S. (2010). Brain-derived 
neurotrophic factor and the development of structural neuronal connectivity. In 
Developmental Neurobiology (Vol. 70, Issue 5). https://doi.org/10.1002/dneu.20774 
Collins, F. S., & Varmus, H. (2015). A New Initiative on Precision Medicine. New 
England Journal of Medicine, 372(9), 793–795. 
https://doi.org/10.1056/nejmp1500523 
Colucci-D’amato, L., Speranza, L., & Volpicelli, F. (2020). Neurotrophic factor bdnf, 
physiological functions and therapeutic potential in depression, neurodegeneration 
and brain cancer. In International Journal of Molecular Sciences (Vol. 21, Issue 20). 
https://doi.org/10.3390/ijms21207777 
Crane, A. T., Rossignol, J., & Dunbar, G. L. (2014). Use of genetically altered stem cells 
for the treatment of Huntington’s disease. In Brain Sciences (Vol. 4, Issue 1). 
https://doi.org/10.3390/brainsci4010202 
Cunha, C., Brambilla, R., & Thomas, K. L. (2010). A simple role for BDNF in learning 
and memory? Frontiers in Molecular Neuroscience, 3. 
https://doi.org/10.3389/neuro.02.001.2010 
Deinhardt, K., Kim, T., Spellman, D. S., Mains, R. E., Eipper, B. A., Neubert, T. A., 
Chao, M. V., & Hempstead, B. L. (2011). Neuronal growth cone retraction relies on 
proneurotrophin receptor signaling through rac. Science Signaling, 4(202). 
https://doi.org/10.1126/scisignal.2002060 
Deng, P., Anderson, J. D., Yu, A. S., Annett, G., Fink, K. D., & Nolta, J. A. (2016). 
Engineered BDNF producing cells as a potential treatment for neurologic disease. 
In Expert Opinion on Biological Therapy (Vol. 16, Issue 8). 
https://doi.org/10.1080/14712598.2016.1183641 
Devi, L., & Ohno, M. (2012). 7,8-dihydroxyflavone, a small-molecule TrkB agonist, 
reverses memory deficits and BACE1 elevation in a mouse model of alzheimer’s 
disease. Neuropsychopharmacology, 37(2). https://doi.org/10.1038/npp.2011.191 
162 
 
Di Carlo, P., Punzi, G., & Ursini, G. (2019). Brain-derived neurotrophic factor and 
schizophrenia. Psychiatric Genetics, 29(5), 200–210. 
https://doi.org/10.1097/YPG.0000000000000237 
Dieni, S., Matsumoto, T., Dekkers, M., Rauskolb, S., Ionescu, M. S., Deogracias, R., 
Gundelfinger, E. D., Kojima, M., Nestel, S., Frotscher, M., & Barde, Y. A. (2012). 
BDNF and its pro-peptide are stored in presynaptic dense core vesicles in brain 
neurons. Journal of Cell Biology, 196(6). https://doi.org/10.1083/jcb.201201038 
Diniz, C. R. A. F., Casarotto, P. C., Resstel, L., & Joca, S. R. L. (2018). Beyond good 
and evil: A putative continuum-sorting hypothesis for the functional role of 
proBDNF/BDNF-propeptide/mBDNF in antidepressant treatment. In Neuroscience 
and Biobehavioral Reviews (Vol. 90). 
https://doi.org/10.1016/j.neubiorev.2018.04.001 
Drozdzik, M., Bialecka, M., & Kurzawski, M. (2014). Pharmacogenetics of Parkinson’s 
Disease – Through Mechanisms of Drug Actions. Current Genomics, 14(8). 
https://doi.org/10.2174/1389202914666131210212521 
Du, X., & Hill, R. A. (2015). 7,8-Dihydroxyflavone as a pro-neurotrophic treatment for 
neurodevelopmental disorders. In Neurochemistry International (Vol. 89). 
https://doi.org/10.1016/j.neuint.2015.07.021 
Duan, W., Guo, Z. H., & Mattson, M. P. (2001). Brain-derived neurotrophic factor 
mediates an excitoprotective effect of dietary restriction in mice. Journal of 
Neurochemistry, 76(2). https://doi.org/10.1046/j.1471-4159.2001.00071.x 
Dwivedi, Y., Rizavi, H. S., Conley, R. R., Roberts, R. C., Tamminga, C. A., & Pandey, 
G. N. (2003). Altered gene expression of brain-derived neurotrophic factor and 
receptor tyrosine kinase B in postmortem brain of suicide subjects. Archives of 
General Psychiatry, 60(8). https://doi.org/10.1001/archpsyc.60.8.804 
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., 
Zaitsev, E., Gold, B., Goldman, D., Dean, M., Lu, B., & Weinberger, D. R. (2003). 
The BDNF val66met polymorphism affects activity-dependent secretion of BDNF 
and human memory and hippocampal function. Cell, 112(2). 
https://doi.org/10.1016/S0092-8674(03)00035-7 
Espay, A. J., Brundin, P., & Lang, A. E. (2017). Precision medicine for disease 
modification in Parkinson disease. Nature Reviews Neurology, 13(2), 119–126. 
https://doi.org/10.1038/nrneurol.2016.196 
Evans, S. F., Irmady, K., Ostrow, K., Kim, T., Nykjaer, A., Saftig, P., Blobel, C., & 
Hempstead, B. L. (2011). Neuronal brain-derived neurotrophic factor is synthesized 
in excess, with levels regulated by sortilin-mediated trafficking and lysosomal 
degradation. Journal of Biological Chemistry, 286(34). 
https://doi.org/10.1074/jbc.M111.219675 
163 
 
Fahnestock, M., Marchese, M., Head, E., Pop, V., Michalski, B., Milgram, W. N., & 
Cotman, C. W. (2012). BDNF increases with behavioral enrichment and an 
antioxidant diet in the aged dog. Neurobiology of Aging, 33(3). 
https://doi.org/10.1016/j.neurobiolaging.2010.03.019 
Fedosova, A., Titova, N., Kokaeva, Z., Shipilova, N., Katunina, E., & Klimov, E. (2021). 
Genetic markers as risk factors for the development of impulsive-compulsive 
behaviors in patients with parkinson’s disease receiving dopaminergic therapy. 
Journal of Personalized Medicine, 11(12). https://doi.org/10.3390/jpm11121321 
Fenner, M. E., Achim, C. L., & Fenner, B. M. (2014). Expression of full-length and 
truncated trkB in human striatum and substantia nigra neurons: Implications for 
Parkinson’s disease. Journal of Molecular Histology, 45(3). 
https://doi.org/10.1007/s10735-013-9562-z 
Ferrer, I., Goutan, E., Marín, C., Rey, M. J., & Ribalta, T. (2000). Brain-derived 
neurotrophic factor in Huntington disease. Brain Research, 866(1–2). 
https://doi.org/10.1016/S0006-8993(00)02237-X 
Fischer, D. L., Auinger, P., Goudreau, J. L., Cole-Strauss, A., Kieburtz, K., Elm, J. J., 
Hacker, M. L., Charles, P. D., Lipton, J. W., Pickut, B. A., & Sortwell, C. E. (2020). 
BDNF rs6265 Variant Alters Outcomes with Levodopa in Early-Stage Parkinson’s 
Disease. Neurotherapeutics, 17(4). https://doi.org/10.1007/s13311-020-00965-9 
Fischer, D. L., Auinger, P., Goudreau, J. L., Paumier, K. L., Cole-Strauss, A., Kemp, C. 
J., Lipton, J. W., & Sortwell, C. E. (2018). Bdnf variant is associated with milder 
motor symptom severity in early-stage Parkinson’s disease. Parkinsonism and 
Related Disorders, 53. https://doi.org/10.1016/j.parkreldis.2018.05.003 
Fisher, B. E., Wu, A. D., Salem, G. J., Song, J., Lin, C. H. (Janice), Yip, J., Cen, S., 
Gordon, J., Jakowec, M., & Petzinger, G. (2008). The Effect of Exercise Training in 
Improving Motor Performance and Corticomotor Excitability in People With Early 
Parkinson’s Disease. Archives of Physical Medicine and Rehabilitation, 89(7). 
https://doi.org/10.1016/j.apmr.2008.01.013 
Foltynie, T., Cheeran, B., Williams-Gray, C. H., Edwards, M. J., Schneider, S. A., 
Weinberger, D., Rothwell, J. C., Barker, R. A., & Bhatia, K. P. (2009). BDNF 
val66met influences time to onset of levodopa induced dyskinesia in Parkinson’s 
disease. Journal of Neurology, Neurosurgery and Psychiatry, 80(2). 
https://doi.org/10.1136/jnnp.2008.154294 
Fredriksson, A., Stigsdotter, I. M., Hurtig, A., Ewalds-Kvist, B., & Archer, T. (2011). 
Running wheel activity restores MPTP-induced functional deficits. Journal of Neural 
Transmission (Vienna, Austria : 1996), 118(3). https://doi.org/10.1007/s00702-010-
0474-8 
Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R., Dillon, 
S., Winfield, H., Culver, S., Trojanowski, J. Q., Eidelberg, D., & Fahn, S. (2001). 
164 
 
Transplantation of Embryonic Dopamine Neurons for Severe Parkinson’s Disease. 
New England Journal of Medicine, 344(10). 
https://doi.org/10.1056/nejm200103083441002 
Friedman, W. J. (2000). Neurotrophins induce death of hippocampal neurons via the 
p75 receptor. Journal of Neuroscience, 20(17). https://doi.org/10.1523/jneurosci.20-
17-06340.2000 
Frodl, T., Schaub, A., Banac, S., Charypar, M., Jäger, M., Kümmler, P., Bottlender, R., 
Zetzsche, T., Born, C., Leinsinger, G., Reiser, M., Möller, H. J., & Meisenzahl, E. M. 
(2006). Reduced hippocampal volume correlates with executive dysfunctioning in 
major depression. Journal of Psychiatry and Neuroscience, 31(5). 
Fukumoto, N., Fujii, T., Combarros, O., Kamboh, M. I., Tsai, S. J., Matsushita, S., 
Nacmias, B., Comings, D. E., Arboleda, H., Ingelsson, M., Hyman, B. T., Akatsu, 
H., Grupe, A., Nishimura, A. L., Zatz, M., Mattila, K. M., Rinne, J., Goto, Y. I., 
Asada, T., … Kunugi, H. (2010). Sexually dimorphic effect of the Val66Met 
oolymorphism of BDNF on susceptibility to Alzheimer’s disease: New data and 
meta-analysis. American Journal of Medical Genetics, Part B: Neuropsychiatric 
Genetics, 153(1). https://doi.org/10.1002/ajmg.b.30986 
Gerecke, K. M., Jiao, Y., Pagala, V., & Smeyne, R. J. (2012). Exercise does not protect 
against MPTP-induced neurotoxicity in BDNF happloinsufficent mice. PLoS ONE, 
7(8). https://doi.org/10.1371/journal.pone.0043250 
Giza, J. I., Kim, J., Meyer, H. C., Anastasia, A., Dincheva, I., Zheng, C. I., Lopez, K., 
Bains, H., Yang, J., Bracken, C., Liston, C., Jing, D., Hempstead, B. L., & Lee, F. S. 
(2018). The BDNF Val66Met Prodomain Disassembles Dendritic Spines Altering 
Fear Extinction Circuitry and Behavior. Neuron, 99(1). 
https://doi.org/10.1016/j.neuron.2018.05.024 
Gonzalez, A., Moya-Alvarado, G., Gonzalez-Billaut, C., & Bronfman, F. C. (2016). 
Cellular and molecular mechanisms regulating neuronal growth by brain-derived 
neurotrophic factor. In Cytoskeleton (Vol. 73, Issue 10). 
https://doi.org/10.1002/cm.21312 
Gorzkowska, A., Cholewa, J., Cholewa, J., Wilk, A., & Klimkowicz-Mrowiec, A. (2021). 
Risk factors for apathy in Polish patients with parkinson’s disease. International 
Journal of Environmental Research and Public Health, 18(19). 
https://doi.org/10.3390/ijerph181910196 
Gratacòs, M., González, J. R., Mercader, J. M., de Cid, R., Urretavizcaya, M., & Estivill, 
X. (2007). Brain-Derived Neurotrophic Factor Val66Met and Psychiatric Disorders: 
Meta-Analysis of Case-Control Studies Confirm Association to Substance-Related 
Disorders, Eating Disorders, and Schizophrenia. Biological Psychiatry, 61(7). 
https://doi.org/10.1016/j.biopsych.2006.08.025 
Gudasheva, T. A., Povarnina, P. Y., Tarasiuk, A. V., & Seredenin, S. B. (2021). Low-
165 
 
molecular mimetics of nerve growth factor and brain-derived neurotrophic factor: 
Design and pharmacological properties. In Medicinal Research Reviews (Vol. 41, 
Issue 5). https://doi.org/10.1002/med.21721 
Gudasheva, T. A., Tallerova, A. V., Mezhlumyan, A. G., Antipova, T. A., Logvinov, I. O., 
Firsova, Y. N., Povarnina, P. Y., & Seredenin, S. B. (2021). Low-molecular weight 
bdnf mimetic, dimeric dipeptide GSB-106, reverses depressive symptoms in mouse 
chronic social defeat stress. Biomolecules, 11(2). 
https://doi.org/10.3390/biom11020252 
Habtemariam, S. (2018). The brain-derived neurotrophic factor in neuronal plasticity and 
neuroregeneration: New pharmacological concepts for old and new drugs. In 
Neural Regeneration Research (Vol. 13, Issue 6). https://doi.org/10.4103/1673-
5374.233438 
Hagell, P., & Cenci, M. A. (2005). Dyskinesias and dopamine cell replacement in 
Parkinson’s disease: A clinical perspective. Brain Research Bulletin, 68(1–2). 
https://doi.org/10.1016/j.brainresbull.2004.10.013 
Hashimoto, T., Bergen, S. E., Nguyen, Q. L., Xu, B., Monteggia, L. M., Pierri, J. N., Sun, 
Z., Sampson, A. R., & Lewis, D. A. (2005). Relationship of brain-derived 
neurotrophic factor and its receptor TrkB to altered inhibitory prefrontal circuitry in 
schizophrenia. Journal of Neuroscience, 25(2). 
https://doi.org/10.1523/JNEUROSCI.4035-04.2005 
Hauser, R. A., Auinger, P., & Oakes, D. (2009). Levodopa response in early Parkinson’s 
disease. Movement Disorders, 24(16). https://doi.org/10.1002/mds.22759 
Hempstead, B. (2006). Dissecting the Diverse Actions of Pro- and Mature 
Neurotrophins. Current Alzheimer Research, 3(1). 
https://doi.org/10.2174/156720506775697061 
Herman, T., Giladi, N., Gruendlinger, L., & Hausdorff, J. M. (2007). Six Weeks of 
Intensive Treadmill Training Improves Gait and Quality of Life in Patients With 
Parkinson’s Disease: A Pilot Study. Archives of Physical Medicine and 
Rehabilitation, 88(9). https://doi.org/10.1016/j.apmr.2007.05.015 
Hock, C., Heese, K., Hulette, C., Rosenberg, C., & Otten, U. (2000). Region-Specific 
Neurotrophin Imbalances in Alzheimer Disease. Archives of Neurology, 57(6). 
https://doi.org/10.1001/archneur.57.6.846 
Hosang, G. M., Shiles, C., Tansey, K. E., McGuffin, P., & Uher, R. (2014). Interaction 
between stress and the BDNF Val66Met polymorphism in depression: A systematic 
review and meta-analysis. BMC Medicine, 12(1). https://doi.org/10.1186/1741-
7015-12-7 
Howells, D. W., Porritt, M. J., Wong, J. Y. F., Batchelor, P. E., Kalnins, R., Hughes, A. 
J., & Donnan, G. A. (2000). Reduced BDNF mRNA expression in the Parkinson’s 
166 
 
disease substantia nigra. Experimental Neurology, 166(1). 
https://doi.org/10.1006/exnr.2000.7483 
Huang, R., Huang, J., Cathcart, H., Smith, S., & Poduslo, S. E. (2007). Genetic variants 
in brain-derived neurotrophic factor associated with Alzheimer’s disease. Journal of 
Medical Genetics, 44(2). https://doi.org/10.1136/jmg.2006.044883 
Huang, Y., Yun, W., Zhang, M., Luo, W., & Zhou, X. (2018). Serum concentration and 
clinical significance of brain-derived neurotrophic factor in patients with Parkinson’s 
disease or essential tremor. Journal of International Medical Research, 46(4). 
https://doi.org/10.1177/0300060517748843 
Hung, H. C., & Lee, E. H. Y. (1996). The mesolimbic dopaminergic pathway is more 
resistant than the nigrostriatal dopaminergic pathway to MPTP and MPP+ toxicity: 
Role of BDNF gene expression. Molecular Brain Research, 41(1–2). 
https://doi.org/10.1016/0169-328X(96)00062-9 
Hyman, C., Hofer, M., Barde, Y. A., Juhasz, M., Yancopoulos, G. D., Squinto, S. P., & 
Lindsay, R. M. (1991). BDNF is a neurotrophic factor for dopaminergic neurons of 
the substantia nigra. Nature, 350(6315). https://doi.org/10.1038/350230a0 
Ivanova, S. A., Loonen, A. J. M., Pechlivanoglou, P., Freidin, M. B., Al Hadithy, A. F. Y., 
Rudikov, E. V, Zhukova, I. A., Govorin, N. V, Sorokina, V. A., Fedorenko, O. Y., 
Alifirova, V. M., Semke, A. V, Brouwers, J. R. B. J., & Wilffert, B. (2012). NMDA 
receptor genotypes associated with the vulnerability to develop dyskinesia. 
Translational Psychiatry, 2(1), e67–e67. https://doi.org/10.1038/tp.2011.66 
Jang, S. W., Liu, X., Yepes, M., Shepherd, K. R., Miller, G. W., Liu, Y., Wilson, W. D., 
Xiao, G., Blanchi, B., Sun, Y. E., & Ye, K. (2010). A selective TrkB agonist with 
potent neurotrophic activities by 7,8-dihydroxyflavone. Proceedings of the National 
Academy of Sciences of the United States of America, 107(6). 
https://doi.org/10.1073/pnas.0913572107 
Januar, V., Ancelin, M. L., Ritchie, K., Saffery, R., & Ryan, J. (2015). BDNF promoter 
methylation and genetic variation in late-life depression. Translational Psychiatry, 
5(8). https://doi.org/10.1038/tp.2015.114 
Jaworski, J., Spangler, S., Seeburg, D. P., Hoogenraad, C. C., & Sheng, M. (2005). 
Control of dendritic arborization by the phosphoinositide-3′-kinase- Akt-mammalian 
target of rapamycin pathway. Journal of Neuroscience, 25(49). 
https://doi.org/10.1523/JNEUROSCI.2270-05.2005 
Jin, W. (2020). Regulation of bdnf‐trkb signaling and potential therapeutic strategies for 
parkinson’s disease. In Journal of Clinical Medicine (Vol. 9, Issue 1). 
https://doi.org/10.3390/jcm9010257 
Kalra, S., Genge, A., & Arnold, D. L. (2003). A prospective, randomized, placebo-
controlled evaluation of corticoneuronal response to intrathecal BDNF therapy in 
167 
 
ALS using magnetic resonance spectroscopy: Feasibility and results. Amyotrophic 
Lateral Sclerosis and Other Motor Neuron Disorders, 4(1). 
https://doi.org/10.1080/14660820310006689 
Karamohamed, S., Latourelle, J. C., Racette, B. A., Perlmutter, J. S., Wooten, G. F., 
Lew, M., Klein, C., Shill, H., Golbe, L. I., Mark, M. H., Guttman, M., Nicholson, G., 
Wilk, J. B., Saint-Hilaire, M., DeStefano, A. L., Prakash, R., Tobin, S., Williamson, 
J., Suchowersky, O., … Parsian, A. (2005a). BDNF genetic variants are associated 
with onset age of familial Parkinson disease: GenePD Study. Neurology, 65(11). 
https://doi.org/10.1212/01.wnl.0000187075.81589.fd 
Karamohamed, S., Latourelle, J. C., Racette, B. A., Perlmutter, J. S., Wooten, G. F., 
Lew, M., Klein, C., Shill, H., Golbe, L. I., Mark, M. H., Guttman, M., Nicholson, G., 
Wilk, J. B., Saint-Hilaire, M., DeStefano, A. L., Prakash, R., Tobin, S., Williamson, 
J., Suchowersky, O., … Parsian, A. (2005b). BDNF genetic variants are associated 
with onset age of familial Parkinson disease: Gene PD Study. Neurology, 65(11), 
1823–1825. https://doi.org/10.1212/01.wnl.0000187075.81589.fd 
Kazim, S. F., & Iqbal, K. (2016). Neurotrophic factor small-molecule mimetics mediated 
neuroregeneration and synaptic repair: Emerging therapeutic modality for 
Alzheimer’s disease. In Molecular Neurodegeneration (Vol. 11, Issue 1). 
https://doi.org/10.1186/s13024-016-0119-y 
Keller, M. F., Saad, M., Bras, J., Bettella, F., Nicolaou, N., Simon-Sanchez, J., Mittag, 
F., Buchel, F., Sharma, M., Gibbs, J. R., Schulte, C., Moskvina, V., Durr, A., 
Holmans, P., Kilarski, L. L., Guerreiro, R., Hernandez, D. G., Brice, A., Ylikotila, P., 
… Nalls, M. A. (2012). Using genome-wide complex trait analysis to quantify 
“missing heritability” in Parkinson’s disease. Human Molecular Genetics, 21(22), 
4996–5009. https://doi.org/10.1093/hmg/dds335 
Kells, A. P., Fong, D. M., Dragunow, M., During, M. J., Young, D., & Connor, B. (2004). 
AAV-mediated gene delivery of BDNF or GDNF is neuroprotective in a model of 
Huntington disease. Molecular Therapy, 9(5). 
https://doi.org/10.1016/j.ymthe.2004.02.016 
Kheirollahi, M., Kazemi, E., & Ashouri, S. (2016). Brain-Derived Neurotrophic Factor 
Gene Val66Met Polymorphism and Risk of Schizophrenia: A Meta-analysis of 
Case–Control Studies. In Cellular and Molecular Neurobiology (Vol. 36, Issue 1). 
https://doi.org/10.1007/s10571-015-0229-z 
Knott, C., Stern, G., Kingsbury, A., Welcher, A. A., & Wilkin, G. P. (2002). Elevated glial 
brain-derived neurotrophic factor in Parkinson’s diseased nigra. Parkinsonism and 
Related Disorders, 8(5). https://doi.org/10.1016/S1353-8020(02)00008-1 
Kowiański, P., Lietzau, G., Czuba, E., Waśkow, M., Steliga, A., & Moryś, J. (2018). 
BDNF: A Key Factor with Multipotent Impact on Brain Signaling and Synaptic 
Plasticity. In Cellular and Molecular Neurobiology (Vol. 38, Issue 3). 
https://doi.org/10.1007/s10571-017-0510-4 
168 
 
Kumar, V., Zhang, M. X., Swank, M. W., Kunz, J., & Wu, G. Y. (2005). Regulation of 
dendritic morphogenesis by Ras-PI3K-Akt-mTOR and Ras-MAPK signaling 
pathways. Journal of Neuroscience, 25(49). 
https://doi.org/10.1523/JNEUROSCI.2284-05.2005 
Laing, K. R., Mitchell, D., Wersching, H., Czira, M. E., Berger, K., & Baune, B. T. (2012). 
Brain-derived neurotrophic factor (BDNF) gene: A gender-specific role in cognitive 
function during normal cognitive aging of the MEMO-Study? Age, 34(4). 
https://doi.org/10.1007/s11357-011-9275-8 
Lau, Y. S., Patki, G., Das-Panja, K., Le, W. D., & Ahmad, S. O. (2011). Neuroprotective 
effects and mechanisms of exercise in a chronic mouse model of Parkinson’s 
disease with moderate neurodegeneration. European Journal of Neuroscience, 
33(7). https://doi.org/10.1111/j.1460-9568.2011.07626.x 
Lee, R., Kermani, P., Teng, K. K., & Hempstead, B. L. (2001). Regulation of cell survival 
by secreted proneurotrophins. Science, 294(5548). 
https://doi.org/10.1126/science.1065057 
Lee, Y., Lim, S. W., Kim, S. Y., Chung, J. W., Kim, J., Myung, W., Song, J., Kim, S., 
Carroll, B. J., & Kim, D. K. (2013). Association between the BDNF Val66Met 
Polymorphism and Chronicity of Depression. Psychiatry Investigation, 10(1). 
https://doi.org/10.4306/pi.2013.10.1.56 
Leibrock, J., Lottspeich, F., Hohn, A., Hofer, M., Hengerer, B., Masiakowski, P., 
Thoenen, H., & Barde, Y. A. (1989). Molecular cloning and expression of brain-
derived neurotrophic factor. Nature, 341(6238). https://doi.org/10.1038/341149a0 
Lessmann, V., & Brigadski, T. (2009). Mechanisms, locations, and kinetics of synaptic 
BDNF secretion: An update. Neuroscience Research, 65(1). 
https://doi.org/10.1016/j.neures.2009.06.004 
Levi‐Montalcini, R., & Hamburger, V. (1951). Selective growth stimulating effects of 
mouse sarcoma on the sensory and sympathetic nervous system of the chick 
embryo. Journal of Experimental Zoology, 116(2). 
https://doi.org/10.1002/jez.1401160206 
Levi‐Montalcini, R., & Hamburger, V. (1953). A diffusible agent of mouse sarcoma, 
producing hyperplasia of sympathetic ganglia and hyperneurotization of viscera in 
the chick embryo. Journal of Experimental Zoology, 123(2). 
https://doi.org/10.1002/jez.1401230203 
Levivier, M., Przedborski, S., Bencsics, C., & Kang, U. J. (1995). Intrastriatal 
implantation of fibroblasts genetically engineered to produce brain-derived 
neurotrophic factor prevents degeneration of dopaminergic neurons in a rat model 
of Parkinson’s disease. Journal of Neuroscience, 15(12). 
https://doi.org/10.1523/jneurosci.15-12-07810.1995 
169 
 
Lima Giacobbo, B., Doorduin, J., Klein, H. C., Dierckx, R. A. J. O., Bromberg, E., & de 
Vries, E. F. J. (2019). Brain-Derived Neurotrophic Factor in Brain Disorders: Focus 
on Neuroinflammation. In Molecular Neurobiology (Vol. 56, Issue 5). 
https://doi.org/10.1007/s12035-018-1283-6 
Liu, Q., Lei, L., Yu, T., Jiang, T., & Kang, Y. (2018). Effect of Brain-Derived Neurotrophic 
Factor on the Neurogenesis and Osteogenesis in Bone Engineering. Tissue 
Engineering - Part A, 24(15–16). https://doi.org/10.1089/ten.tea.2017.0462 
Longo, F. M., & Massa, S. M. (2013). Small-molecule modulation of neurotrophin 
receptors: A strategy for the treatment of neurological disease. In Nature Reviews 
Drug Discovery (Vol. 12, Issue 7). https://doi.org/10.1038/nrd4024 
Losenkov, I. S., Mulder, N. J. V., Levchuk, L. A., Vyalova, N. M., Loonen, A. J. M., 
Bosker, F. J., Simutkin, G. G., Boiko, A. S., Bokhan, N. A., Wilffert, B., Hak, E., 
Schmidt, A. F., & Ivanova, S. A. (2020). Association Between BDNF Gene Variant 
Rs6265 and the Severity of Depression in Antidepressant Treatment-Free 
Depressed Patients. Frontiers in Psychiatry, 11. 
https://doi.org/10.3389/fpsyt.2020.00038 
Lou, H., Kim, S. K., Zaitsev, E., Snell, C. R., Lu, B., & Loh, Y. P. (2005). Sorting and 
activity-dependent secretion of BDNF require interaction of a specific motif with the 
sorting receptor carboxypeptidase E. Neuron, 45(2). 
https://doi.org/10.1016/j.neuron.2004.12.037 
Lu, J. J., Yang, M., Sun, Y., & Zhou, X. F. (2014). Synthesis, trafficking and release of 
BDNF. In Handbook of Neurotoxicity (Vol. 3). https://doi.org/10.1007/978-1-4614-
5836-4_24 
Manfredsson, F. P., Polinski, N. K., Subramanian, T., Boulis, N., Wakeman, D. R., & 
Mandel, R. J. (2020). The Future of GDNF in Parkinson’s Disease. Frontiers in 
Aging Neuroscience, 12. https://doi.org/10.3389/fnagi.2020.593572 
Marks, W. J., Bartus, R. T., Siffert, J., Davis, C. S., Lozano, A., Boulis, N., Vitek, J., 
Stacy, M., Turner, D., Verhagen, L., Bakay, R., Watts, R., Guthrie, B., Jankovic, J., 
Simpson, R., Tagliati, M., Alterman, R., Stern, M., Baltuch, G., … Olanow, C. W. 
(2010). Gene delivery of AAV2-neurturin for Parkinson’s disease: A double-blind, 
randomised, controlled trial. The Lancet Neurology, 9(12). 
https://doi.org/10.1016/S1474-4422(10)70254-4 
Martinez-Carrasco, A., Real, R., Lawton, M., Iwaki, H., Tan, M. M. X., Wu, L., Williams, N. 
M., Carroll, C., Hu, M. T. M., Grosset, D. G., Hardy, J., Ryten, M., Foltynie, T., Ben-
Shlomo, Y., Shoai, M., & Morris, H. R. (2023). Genetic meta-analysis of levodopa induced 
dyskinesia in Parkinson’s disease. Npj Parkinson’s Disease, 9(1), 128. 
https://doi.org/10.1038/s41531-023-00573-2 
Maserejian, N., Vinikoor-Imler, L., & Dilley, A. (2020). Estimation of the 2020 global 
population of Parkinson’s disease (PD). Movement Disorders, 35, S79–S80. 
170 
 
Maswood, N., Young, J., Tilmont, E., Zhang, Z., Gash, D. M., Gerhardt, G. A., Grondin, 
R., Roth, G. S., Mattison, J., Lane, M. A., Carson, R. E., Cohen, R. M., Mouton, P. 
R., Quigley, C., Mattson, M. P., & Ingram, D. K. (2004). Caloric restriction increases 
neurotrophic factor levels and attenuates neurochemical and behavioral deficits in a 
primate model of Parkinson’s disease. Proceedings of the National Academy of 
Sciences of the United States of America, 101(52). 
https://doi.org/10.1073/pnas.0405831102 
Mattson, M. P., Chan, S. L., & Duan, W. (2002). Modification of brain aging and 
neurodegenerative disorders by genes, diet, and behavior. In Physiological 
Reviews (Vol. 82, Issue 3). https://doi.org/10.1152/physrev.00004.2002 
McGregor, C. E., & English, A. W. (2019). The role of BDNF in peripheral nerve 
regeneration: Activity-dependent treatments and Val66Met. In Frontiers in Cellular 
Neuroscience (Vol. 12). https://doi.org/10.3389/fncel.2018.00522 
Meeker, R. B., & Williams, K. S. (2015). The p75 neurotrophin receptor: At the 
crossroad of neural repair and death. Neural Regeneration Research, 10(5). 
https://doi.org/10.4103/1673-5374.156967 
Meeker, R., & Williams, K. (2014). Dynamic Nature of the p75 Neurotrophin Receptor in 
Response to Injury and Disease. In Journal of Neuroimmune Pharmacology (Vol. 9, 
Issue 5). https://doi.org/10.1007/s11481-014-9566-9 
Mei, S., Chen, W., Chen, S., Hu, Y., Dai, X., & Liu, X. (2022). Evaluation of the 
Relationship Between BDNF Val66Met Gene Polymorphism and Attention Deficit 
Hyperactivity Disorder: A Meta-Analysis. Frontiers in Psychiatry, 13. 
https://doi.org/10.3389/fpsyt.2022.888774 
Mercado, N. M., Collier, T. J., Sortwell, C. E., & Steece-Collier, K. (2017). BDNF in the 
Aged Brain: Translational Implications for Parkinson’s Disease. Austin Neurology & 
Neurosciences, 2(2). 
Mercado, N. M., Stancati, J. A., Sortwell, C. E., Mueller, R. L., Boezwinkle, S. A., Duffy, 
M. F., Fischer, D. L., Sandoval, I. M., Manfredsson, F. P., Collier, T. J., & Steece-
Collier, K. (2021). The BDNF Val66Met polymorphism (rs6265) enhances 
dopamine neuron graft efficacy and side-effect liability in rs6265 knock-in rats. 
Neurobiology of Disease, 148. https://doi.org/10.1016/j.nbd.2020.105175 
Mercado, N. M., Szarowicz, C., Stancati, J. A., Sortwell, C. E., Boezwinkle, S. A., 
Collier, T. J., Caulfield, M. E., & Steece-Collier, K. (2024). Advancing age and the 
rs6265 BDNF SNP are permissive to graft-induced dyskinesias in parkinsonian 
rats. Npj Parkinson’s Disease, 10(1), 163. https://doi.org/10.1038/s41531-024-
00771-6 
Merola, A., Van Laar, A., Lonser, R., & Bankiewicz, K. (2020). Gene therapy for 
Parkinson’s disease: contemporary practice and emerging concepts. In Expert 
Review of Neurotherapeutics (Vol. 20, Issue 6). 
171 
 
https://doi.org/10.1080/14737175.2020.1763794 
Mitre, M., Mariga, A., & Chao, M. V. (2017). Neurotrophin signalling: Novel insights into 
mechanisms and pathophysiology. In Clinical Science (Vol. 131, Issue 1). 
https://doi.org/10.1042/CS20160044 
Mizoguchi, H., Nakade, J., Tachibana, M., Ibi, D., Someya, E., Koike, H., Kamei, H., 
Nabeshima, T., Itohara, S., Takuma, K., Sawada, M., Sato, J., & Yamada, K. 
(2011). Matrix metalloproteinase-9 contributes to kindled seizure development in 
pentylenetetrazole-treated mice by converting pro-BDNF to mature BDNF in the 
hippocampus. Journal of Neuroscience, 31(36). 
https://doi.org/10.1523/JNEUROSCI.3118-11.2011 
Mizui, T., Ishikawa, Y., Kumanogoh, H., & Kojima, M. (2016). Neurobiological actions by 
three distinct subtypes of brain-derived neurotrophic factor: Multi-ligand model of 
growth factor signaling. In Pharmacological Research (Vol. 105). 
https://doi.org/10.1016/j.phrs.2015.12.019 
Mizui, T., Ishikawa, Y., Kumanogoh, H., Lume, M., Matsumoto, T., Hara, T., Yamawaki, 
S., Takahashi, M., Shiosaka, S., Itami, C., Uegaki, K., Saarma, M., & Kojima, M. 
(2015). BDNF pro-peptide actions facilitate hippocampal LTD and are altered by 
the common BDNF polymorphism Val66Met. Proceedings of the National Academy 
of Sciences of the United States of America, 112(23). 
https://doi.org/10.1073/pnas.1422336112 
Mizui, T., Ohira, K., & Kojima, M. (2017). BDNF pro-peptide: A novel synaptic modulator 
generated as an N-terminal fragment from the BDNF precursor by proteolytic 
processing. In Neural Regeneration Research (Vol. 12, Issue 7). 
https://doi.org/10.4103/1673-5374.211173 
Molendijk, M. L., Spinhoven, P., Polak, M., Bus, B. A. A., Penninx, B. W. J. H., & 
Elzinga, B. M. (2014). Serum BDNF concentrations as peripheral manifestations of 
depression: Evidence from a systematic review and meta-analyses on 179 
associations (N=9484). Molecular Psychiatry, 19(7). 
https://doi.org/10.1038/mp.2013.105 
Molina, J. R., & Adjei, A. A. (2006). The Ras/Raf/MAPK Pathway. Journal of Thoracic 
Oncology, 1(1). https://doi.org/10.1016/s1556-0864(15)31506-9 
Moreau, C., Meguig, S., Corvol, J.-C., Labreuche, J., Vasseur, F., Duhamel, A., Delval, 
A., Bardyn, T., Devedjian, J.-C., Rouaix, N., Petyt, G., Brefel-Courbon, C., Ory-
Magne, F., Guehl, D., Eusebio, A., Fraix, V., Saulnier, P.-J., Lagha-Boukbiza, O., 
Durif, F., … Devos, D. (2015). Polymorphism of the dopamine transporter type 1 
gene modifies the treatment response in Parkinson’s disease. Brain, 138(5), 1271–
1283. https://doi.org/10.1093/brain/awv063 
Murer, M. G., Yan, Q., & Raisman-Vozari, R. (2001). Brain-derived neurotrophic factor 
in the control human brain, and in Alzheimer’s disease and Parkinson’s disease. In 
172 
 
Progress in Neurobiology (Vol. 63, Issue 1). https://doi.org/10.1016/S0301-
0082(00)00014-9 
Nagahara, A. H., & Tuszynski, M. H. (2011). Potential therapeutic uses of BDNF in 
neurological and psychiatric disorders. In Nature Reviews Drug Discovery (Vol. 10, 
Issue 3). https://doi.org/10.1038/nrd3366 
Narisawa-Saito, M., Wakabayashi, K., Tsuji, S., Takahashi, H., & Nawa, H. (1996). 
Regional specificity of alterations in NGF, BDNF and NT-3 levels in Alzheimer’s 
disease. NeuroReport, 7(18). https://doi.org/10.1097/00001756-199611250-00024 
Notaras, M., & van den Buuse, M. (2019). Brain-Derived Neurotrophic Factor (BDNF): 
Novel Insights into Regulation and Genetic Variation. In Neuroscientist (Vol. 25, 
Issue 5). https://doi.org/10.1177/1073858418810142 
Ochs, G., Penn, R. D., York, M., Giess, R., Beck, M., Tonn, J., Haigh, J., Malta, E., 
Traub, M., Sendtner, M., & Toyka, K. V. (2000). A phase I/II trial of recombinant 
methionyl human brain derived neurotrophic factor administered by intrathecal 
infusion to patients with amyotrophic lateral sclerosis. Amyotrophic Lateral 
Sclerosis, 1(3). https://doi.org/10.1080/14660820050515197 
Olanow, C. W., Goetz, C. G., Kordower, J. H., Stoessl, A. J., Sossi, V., Brin, M. F., 
Shannon, K. M., Nauert, G. M., Perl, D. P., Godbold, J., & Freeman, T. B. (2003). A 
double-blind controlled trial of bilateral fetal nigral transplantation in Parkinson’s 
disease. Annals of Neurology, 54(3). https://doi.org/10.1002/ana.10720 
Pandey, G. N., Ren, X., Rizavi, H. S., Conley, R. R., Roberts, R. C., & Dwivedi, Y. 
(2008). Brain-derived neurotrophic factor and tyrosine kinase B receptor signalling 
in post-mortem brain of teenage suicide victims. International Journal of 
Neuropsychopharmacology, 11(8). https://doi.org/10.1017/S1461145708009000 
Pang, P. T., Nagappan, G., Guo, W., & Lu, B. (2016). Extracellular and intracellular 
cleavages of proBDNF required at two distinct stages of late-phase LTP. Npj 
Science of Learning, 1(1). https://doi.org/10.1038/npjscilearn.2016.3 
Park, H., & Poo, M. M. (2013). Neurotrophin regulation of neural circuit development 
and function. In Nature Reviews Neuroscience (Vol. 14, Issue 1). 
https://doi.org/10.1038/nrn3379 
Payami, H. (2017). The emerging science of precision medicine and 
pharmacogenomics for Parkinson’s disease. Movement Disorders, 32(8), 1139–
1146. https://doi.org/10.1002/mds.27099 
Pei, Y., Smith, A. K., Wang, Y., Pan, Y., Yang, J., Chen, Q., Pan, W., Bao, F., Zhao, L., 
Tie, C., Wang, Y., Wang, J., Zhen, W., Zhou, J., & Ma, X. (2012). The brain-derived 
neurotrophic-factor (BDNF) val66met polymorphism is associated with geriatric 
depression: A meta-analysis. American Journal of Medical Genetics, Part B: 
Neuropsychiatric Genetics, 159 B(5). https://doi.org/10.1002/ajmg.b.32062 
173 
 
Peng, S., Wuu, J., Mufson, E. J., & Fahnestock, M. (2005). Precursor form of brain-
derived neurotrophic factor and mature brain-derived neurotrophic factor are 
decreased in the pre-clinical stages of Alzheimer’s disease. Journal of 
Neurochemistry, 93(6). https://doi.org/10.1111/j.1471-4159.2005.03135.x 
Petryshen, T. L., Sabeti, P. C., Aldinger, K. A., Fry, B., Fan, J. B., Schaffner, S. F., 
Waggoner, S. G., Tahl, A. R., & Sklar, P. (2010). Population genetic study of the 
brain-derived neurotrophic factor (BDNF) gene. Molecular Psychiatry, 15(8). 
https://doi.org/10.1038/mp.2009.24 
Petzinger, G. M., Walsh, J. P., Akopian, G., Hogg, E., Abernathy, A., Arevalo, P., 
Turnquist, P., Vučković, M., Fisher, B. E., Togasaki, D. M., & Jakowec, M. W. 
(2007). Effects of treadmill exercise on dopaminergic transmission in the 1-methyl-
4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mouse model of basal ganglia injury. 
Journal of Neuroscience, 27(20). https://doi.org/10.1523/JNEUROSCI.1069-
07.2007 
Phillips, H. S., Hains, J. M., Armanini, M., Laramee, G. R., Johnson, S. A., & Winslow, J. 
W. (1991). BDNF mRNA is decreased in the hippocampus of individuals with 
Alzheimer’s disease. Neuron, 7(5). https://doi.org/10.1016/0896-6273(91)90273-3 
Porritt, M. J., Batchelor, P. E., & Howells, D. W. (2005). Inhibiting BDNF expression by 
antisense oligonucleotide infusion causes loss of nigral dopaminergic neurons. 
Experimental Neurology, 192(1). https://doi.org/10.1016/j.expneurol.2004.11.030 
Pruunsild, P., Kazantseval, A., Aid, T., Palm, K., & Timmusk, T. (2007). Dissecting the 
human BDNF locus: Bidirectional transcription, complex splicing, and multiple 
promoters. Genomics, 90(3). https://doi.org/10.1016/j.ygeno.2007.05.004 
Razgado-Hernandez, L. F., Espadas-Alvarez, A. J., Reyna-Velazquez, P., Sierra-
Sanchez, A., Anaya-Martinez, V., Jimenez-Estrada, I., Bannon, M. J., Martinez-
Fong, D., & Aceves-Ruiz, J. (2015). The transfection of BDNF to dopamine neurons 
potentiates the effect of dopamine D3 receptor agonist recovering the striatal 
innervation, dendritic spines and motor behavior in an aged rat model of 
Parkinson’s disease. PLoS ONE, 10(2). 
https://doi.org/10.1371/journal.pone.0117391 
Real, C. C., Ferreira, A. F. B., Chaves-Kirsten, G. P., Torrão, A. S., Pires, R. S., & 
Britto, L. R. G. (2013). BDNF receptor blockade hinders the beneficial effects of 
exercise in a rat model of Parkinson’s disease. Neuroscience, 237. 
https://doi.org/10.1016/j.neuroscience.2013.01.060 
Reichardt, L. F. (2006). Neurotrophin-regulated signalling pathways. In Philosophical 
Transactions of the Royal Society B: Biological Sciences (Vol. 361, Issue 1473). 
https://doi.org/10.1098/rstb.2006.1894 
Reinhart, V., Bove, S. E., Volfson, D., Lewis, D. A., Kleiman, R. J., & Lanz, T. A. (2015). 
Evaluation of TrkB and BDNF transcripts in prefrontal cortex, hippocampus, and 
174 
 
striatum from subjects with schizophrenia, bipolar disorder, and major depressive 
disorder. Neurobiology of Disease, 77. https://doi.org/10.1016/j.nbd.2015.03.011 
Reycraft, J. T., Islam, H., Townsend, L. K., Hayward, G. C., Hazell, T. O. M. J., & 
MacPherson, R. E. K. (2020). Exercise Intensity and Recovery on Circulating Brain-
derived Neurotrophic Factor. Medicine and Science in Sports and Exercise, 52(5). 
https://doi.org/10.1249/MSS.0000000000002242 
Sakuragi, S., Tominaga-Yoshino, K., & Ogura, A. (2013). Involvement of TrkB- and 
p75MNTR -signaling pathways in two contrasting forms of long-lasting synaptic 
plasticity. Scientific Reports, 3. https://doi.org/10.1038/srep03185 
Sasi, M., Vignoli, B., Canossa, M., & Blum, R. (2017). Neurobiology of local and 
intercellular BDNF signaling. In Pflugers Archiv : European journal of physiology 
(Vol. 469, Issues 5–6). https://doi.org/10.1007/s00424-017-1964-4 
Scalzo, P., Kümmer, A., Bretas, T. L., Cardoso, F., & Teixeira, A. L. (2010). Serum 
levels of brain-derived neurotrophic factor correlate with motor impairment in 
Parkinson’s disease. Journal of Neurology, 257(4). https://doi.org/10.1007/s00415-
009-5357-2 
Schalkamp, A.-K., Rahman, N., Monzón-Sandoval, J., & Sandor, C. (2022). Deep 
phenotyping for precision medicine in Parkinson’s disease. Disease Models & 
Mechanisms, 15(6). https://doi.org/10.1242/dmm.049376 
Schneider, S. A., & Alcalay, R. N. (2020). Precision medicine in Parkinson’s disease: 
emerging treatments for genetic Parkinson’s disease. In Journal of Neurology (Vol. 
267, Issue 3, pp. 860–869). Springer. https://doi.org/10.1007/s00415-020-09705-7 
Segal, R. A. (2003). Selectivity in neurotrophin signaling: Theme and variations. In 
Annual Review of Neuroscience (Vol. 26). 
https://doi.org/10.1146/annurev.neuro.26.041002.131421 
Shang, Y., Wang, N., Zhang, E., Liu, Q., Li, H., & Zhao, X. (2022). The Brain-Derived 
Neurotrophic Factor Val66Met Polymorphism Is Associated With Female 
Obsessive-Compulsive Disorder: An Updated Meta-Analysis of 2765 Obsessive-
Compulsive Disorder Cases and 5558 Controls. In Frontiers in Psychiatry (Vol. 12). 
https://doi.org/10.3389/fpsyt.2021.685041 
Shen, T., You, Y., Joseph, C., Mirzaei, M., Klistorner, A., Graham, S. L., & Gupta, V. 
(2018). BDNF polymorphism: A review of its diagnostic and clinical relevance in 
neurodegenerative disorders. In Aging and Disease (Vol. 9, Issue 3). 
https://doi.org/10.14336/AD.2017.0717 
Sherer, T. B., Frasier, M. A., Langston, J. W., & Fiske, B. K. (2016). Parkinson’S 
Disease is Ready for Precision Medicine. Personalized Medicine, 13(5), 405–407. 
https://doi.org/10.2217/pme-2016-0052 
175 
 
Shimizu, E., Hashimoto, K., Okamura, N., Koike, K., Komatsu, N., Kumakiri, C., 
Nakazato, M., Watanabe, H., Shinoda, N., Okada, S. I., & Iyo, M. (2003). 
Alterations of serum levels of brain-derived neurotrophic factor (BDNF) in 
depressed patients with or without antidepressants. Biological Psychiatry, 54(1). 
https://doi.org/10.1016/S0006-3223(03)00181-1 
Siokas, V., Kardaras, D., Aloizou, A. M., Asproudis, I., Boboridis, K. G., Papageorgiou, 
E., Hadjigeorgiou, G. M., Tsironi, E. E., & Dardiotis, E. (2019). BDNF rs6265 
(Val66Met) Polymorphism as a Risk Factor for Blepharospasm. NeuroMolecular 
Medicine, 21(1). https://doi.org/10.1007/s12017-018-8519-5 
Skaper, S. D. (2018). Neurotrophic factors: An overview. In Methods in Molecular 
Biology (Vol. 1727). https://doi.org/10.1007/978-1-4939-7571-6_1 
Soderstrom, K. E., Meredith, G., Freeman, T. B., McGuire, S. O., Collier, T. J., Sortwell, 
C. E., Wu, Q., & Steece-Collier, K. (2008). The synaptic impact of the host immune 
response in a parkinsonian allograft rat model: Influence on graft-derived aberrant 
behaviors. Neurobiology of Disease, 32(2). 
https://doi.org/10.1016/j.nbd.2008.06.018 
Sortwell, C. E., Hacker, M. L., Fischer, D. L., Konrad, P. E., Davis, T. L., Neimat, J. S., 
Wang, L., Song, Y., Mattingly, Z. R., Cole-Strauss, A., Lipton, J. W., & Charles, P. 
D. (2021). BDNF rs6265 Genotype Influences Outcomes of Pharmacotherapy and 
Subthalamic Nucleus Deep Brain Stimulation in Early-Stage Parkinson’s Disease. 
Neuromodulation. https://doi.org/10.1111/ner.13504 
Stoddard-Bennett, T., & Pera, R. R. (2019). Treatment of Parkinson’s disease through 
personalized medicine and induced pluripotent stem cells. In Cells (Vol. 8, Issue 1). 
MDPI. https://doi.org/10.3390/cells8010026 
Stuckenschneider, T., Helmich, I., Raabe-Oetker, A., Feodoroff, B., Froböse, I., & 
Schneider, S. (2016). Parkinson’s Disease Patients Show Long-term Gait 
Improvements After Active Assistive Forced Exercise Training. Medicine & Science 
in Sports & Exercise, 48. https://doi.org/10.1249/01.mss.0000487954.94993.25 
Suchanek, R., Owczarek, A., Paul-Samojedny, M., Kowalczyk, M., Kucia, K., & 
Kowalski, J. (2013). BDNF val66met polymorphism is associated with age at onset 
and intensity of symptoms of paranoid schizophrenia in a Polish population. Journal 
of Neuropsychiatry and Clinical Neurosciences, 25(1). 
https://doi.org/10.1176/appi.neuropsych.11100234 
Suelves, N., Miguez, A., López-Benito, S., Barriga, G. G. D., Giralt, A., Alvarez-Periel, 
E., Arévalo, J. C., Alberch, J., Ginés, S., & Brito, V. (2019). Early Downregulation of 
p75 NTR by Genetic and Pharmacological Approaches Delays the Onset of Motor 
Deficits and Striatal Dysfunction in Huntington’s Disease Mice. Molecular 
Neurobiology, 56(2). https://doi.org/10.1007/s12035-018-1126-5 
Svetel, M., Pekmezovic, T., Markovic, V., Novaković, I., Dobričić, V., Djuric, G., 
176 
 
Stefanova, E., & Kostić, V. (2013). No association between brain-derived 
neurotrophic factor g196a polymorphism and clinical features of parkinson’s 
disease. European Neurology, 70(5–6). https://doi.org/10.1159/000352033 
Szarowicz, C. A., Steece-Collier, K., & Caulfield, M. E. (2022). New Frontiers in 
Neurodegeneration and Regeneration Associated with Brain-Derived  Neurotrophic 
Factor and the rs6265 Single Nucleotide Polymorphism. International Journal of 
Molecular Sciences, 23(14). https://doi.org/10.3390/ijms23148011 
Szuhany, K. L., Bugatti, M., & Otto, M. W. (2015). A meta-analytic review of the effects 
of exercise on brain-derived neurotrophic factor. In Journal of Psychiatric Research 
(Vol. 60). https://doi.org/10.1016/j.jpsychires.2014.10.003 
Tajiri, N., Yasuhara, T., Shingo, T., Kondo, A., Yuan, W., Kadota, T., Wang, F., Baba, 
T., Tayra, J. T., Morimoto, T., Jing, M., Kikuchi, Y., Kuramoto, S., Agari, T., Miyoshi, 
Y., Fujino, H., Obata, F., Takeda, I., Furuta, T., & Date, I. (2010). Exercise exerts 
neuroprotective effects on Parkinson’s disease model of rats. Brain Research, 
1310. https://doi.org/10.1016/j.brainres.2009.10.075 
Teng, H. K., Teng, K. K., Lee, R., Wright, S., Tevar, S., Almeida, R. D., Kermani, P., 
Torkin, R., Chen, Z. Y., Lee, F. S., Kraemer, R. T., Nykjaer, A., & Hempstead, B. L. 
(2005). ProBDNF induces neuronal apoptosis via activation of a receptor complex 
of p75NTR and sortilin. Journal of Neuroscience, 25(22). 
https://doi.org/10.1523/JNEUROSCI.5123-04.2005 
Toy, W. A., Petzinger, G. M., Leyshon, B. J., Akopian, G. K., Walsh, J. P., Hoffman, M. 
V., Vučković, M. G., & Jakowec, M. W. (2014). Treadmill exercise reverses 
dendritic spine loss in direct and indirect striatal medium spiny neurons in the 1-
methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse model of Parkinson’s 
disease. Neurobiology of Disease, 63. https://doi.org/10.1016/j.nbd.2013.11.017 
Tsai, S. J. (2018). Critical issues in BDNF Val66met genetic studies of neuropsychiatric 
disorders. In Frontiers in Molecular Neuroscience (Vol. 11). 
https://doi.org/10.3389/fnmol.2018.00156 
Tudor, L., Konjevod, M., Perkovic, M. N., Strac, D. S., Erjavec, G. N., Uzun, S., 
Kozumplik, O., Sagud, M., Petrovic, Z. K., & Pivac, N. (2018). Genetic variants of 
the brain-derived neurotrophic factor and metabolic indices in veterans with 
posttraumatic stress disorder. Frontiers in Psychiatry, 9. 
https://doi.org/10.3389/fpsyt.2018.00637 
Tuon, T., Valvassori, S. S., Lopes-Borges, J., Luciano, T., Trom, C. B., Silva, L. A., 
Quevedo, J., Souza, C. T., Lira, F. S., & Pinho, R. A. (2012). Physical training 
exerts neuroprotective effects in the regulation of neurochemical factors in an 
animal model of Parkinson’s disease. Neuroscience, 227. 
https://doi.org/10.1016/j.neuroscience.2012.09.063 
Tuszynski, M. H., Thal, L., Pay, M., Salmon, D. P., Sang U, H., Bakay, R., Patel, P., 
177 
 
Blesch, A., Vahlsing, H. L., Ho, G., Tong, G., Potkin, S. G., Fallon, J., Hansen, L., 
Mufson, E. J., Kordower, J. H., Gall, C., & Conner, J. (2005). A phase 1 clinical trial 
of nerve growth factor gene therapy for Alzheimer disease. Nature Medicine, 11(5). 
https://doi.org/10.1038/nm1239 
Urbina-Varela, R., Soto-Espinoza, M. I., Vargas, R., Quiñones, L., & del Campo, A. 
(2020). Influence of BDNF genetic polymorphisms in the pathophysiology of aging-
related diseases. In Aging and Disease (Vol. 11, Issue 6). 
https://doi.org/10.14336/AD.2020.0310 
Vaghi, V., Polacchini, A., Baj, G., Pinheiro, V. L. M., Vicario, A., & Tongiorgi, E. (2014). 
Pharmacological profile of brain-derived neurotrophic factor (BDNF) splice variant 
translation using a novel drug screening assay b. Journal of Biological Chemistry, 
289(40). https://doi.org/10.1074/jbc.M114.586719 
Ventriglia, M., Zanardini, R., Bonomini, C., Zanetti, O., Volpe, D., Pasqualetti, P., 
Gennarelli, M., & Bocchio-Chiavetto, L. (2013). Serum brain-derived neurotrophic 
factor levels in different neurological diseases. BioMed Research International, 
2013. https://doi.org/10.1155/2013/901082 
Voisey, J., Lawford, B., Bruenig, D., Harvey, W., Morris, C. P., Young, R. M. D., & 
Mehta, D. (2019). Differential BDNF methylation in combat exposed veterans and 
the association with exercise. Gene, 698. 
https://doi.org/10.1016/j.gene.2019.02.067 
Weickert, C. S., Hyde, T. M., Lipska, B. K., Herman, M. M., Weinberger, D. R., & 
Kleinman, J. E. (2003). Reduced brain-derived neurotrophic factor in prefrontal 
cortex of patients with schizophrenia. Molecular Psychiatry, 8(6). 
https://doi.org/10.1038/sj.mp.4001308 
Weickert, C. S., Ligons, D. L., Romanczyk, T., Ungaro, G., Hyde, T. M., Herman, M. M., 
Weinberger, D. R., & Kleinman, J. E. (2005). Reductions in neurotrophin receptor 
mRNAs in the prefrontal cortex of patients with schizophrenia. Molecular 
Psychiatry, 10(7). https://doi.org/10.1038/sj.mp.4001678 
Wong, Y. H., Lee, C. M., Xie, W., Cui, B., & Poo, M. M. (2015). Activity-dependent 
BDNF release via endocytic pathways is regulated by synaptotagmin-6 and 
complexin. Proceedings of the National Academy of Sciences of the United States 
of America, 112(32). https://doi.org/10.1073/pnas.1511830112 
Woo, N. H., Teng, H. K., Siao, C. J., Chiaruttini, C., Pang, P. T., Milner, T. A., 
Hempstead, B. L., & Lu, B. (2005). Activation of p75NTR by proBDNF facilitates 
hippocampal long-term depression. Nature Neuroscience, 8(8). 
https://doi.org/10.1038/nn1510 
Wu, S. Y., Wang, T. F., Yu, L., Jen, C. J., Chuang, J. I., Wu, F. Sen, Wu, C. W., & Kuo, 
Y. M. (2011). Running exercise protects the substantia nigra dopaminergic neurons 
against inflammation-induced degeneration via the activation of BDNF signaling 
178 
 
pathway. Brain, Behavior, and Immunity, 25(1). 
https://doi.org/10.1016/j.bbi.2010.09.006 
Xiu, M. H., Hui, L., Dang, Y. F., De Hou, T., Zhang, C. X., Zheng, Y. L., Chen, D. C., 
Kosten, T. R., & Zhang, X. Y. (2009). Decreased serum BDNF levels in chronic 
institutionalized schizophrenia on long-term treatment with typical and atypical 
antipsychotics. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 
33(8). https://doi.org/10.1016/j.pnpbp.2009.08.011 
Yang, J., Harte-Hargrove, L. C., Siao, C. J., Marinic, T., Clarke, R., Ma, Q., Jing, D., 
LaFrancois, J. J., Bath, K. G., Mark, W., Ballon, D., Lee, F. S., Scharfman, H. E., & 
Hempstead, B. L. (2014). ProBDNF Negatively Regulates Neuronal Remodeling, 
Synaptic Transmission, and Synaptic Plasticity in Hippocampus. Cell Reports, 7(3). 
https://doi.org/10.1016/j.celrep.2014.03.040 
Yeom, C. W., Park, Y. J., Choi, S. W., & Bhang, S. Y. (2016). Association of peripheral 
BDNF level with cognition, attention and behavior in preschool children. Child and 
Adolescent Psychiatry and Mental Health, 10(1). https://doi.org/10.1186/s13034-
016-0097-4 
Yi, X., Yang, Y., Zhao, Z., Xu, M., Zhang, Y., Sheng, Y., Tian, J., & Xu, Z. (2021). 
Serum mBDNF and ProBDNF Expression Levels as Diagnosis Clue for Early Stage 
Parkinson’s Disease. Frontiers in Neurology, 12. 
https://doi.org/10.3389/fneur.2021.680765 
Yi, Z., Zhang, C., Wu, Z., Hong, W., Li, Z., Fang, Y., & Yu, S. (2011). Lack of effect of 
brain derived neurotrophic factor (BDNF) Val66Met polymorphism on early onset 
schizophrenia in Chinese Han population. Brain Research, 1417. 
https://doi.org/10.1016/j.brainres.2011.08.037 
Yurek, D. M., & Fletcher-Turner, A. (2001). Differential expression of GDNF, BDNF, and 
NT-3 in the aging nigrostriatal system following a neurotoxic lesion. Brain 
Research, 891(1–2). https://doi.org/10.1016/S0006-8993(00)03217-0 
Zagrebelsky, M., Tacke, C., & Korte, M. (2020). BDNF signaling during the lifetime of 
dendritic spines. In Cell and Tissue Research (Vol. 382, Issue 1). 
https://doi.org/10.1007/s00441-020-03226-5 
Zainullina, L. F., Vakhitova, Y. V., Lusta, A. Y., Gudasheva, T. A., & Seredenin, S. B. 
(2021). Dimeric mimetic of BDNF loop 4 promotes survival of serum-deprived cell 
through TrkB-dependent apoptosis suppression. Scientific Reports, 11(1). 
https://doi.org/10.1038/s41598-021-87435-0 
Zanin, J. P., Montroull, L. E., Volosin, M., & Friedman, W. J. (2019). The p75 
Neurotrophin Receptor Facilitates TrkB Signaling and Function in Rat Hippocampal 
Neurons. Frontiers in Cellular Neuroscience, 13. 
https://doi.org/10.3389/fncel.2019.00485 
179 
 
Zuccato, C., & Cattaneo, E. (2007). Role of brain-derived neurotrophic factor in 
Huntington’s disease. In Progress in Neurobiology (Vol. 81, Issues 5–6). 
https://doi.org/10.1016/j.pneurobio.2007.01.003 
Zuccato, C., & Cattaneo, E. (2009). Brain-derived neurotrophic factor in 
neurodegenerative diseases. In Nature Reviews Neurology (Vol. 5, Issue 6). 
https://doi.org/10.1038/nrneurol.2009.54 
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CHAPTER 3: PRECISION MEDICINE IN PARKINSON’S DISEASE: HOST/DONOR 
INTERACTIONS AND GRAFT-INDUCED DYSKINESIA LIABILITY IN HOMOYZGOUS 
rs6265 (MET/MET) BDNF PARKINSONIAN RATS 
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ABSTRACT 
Transplanting replacement dopamine (DA) neurons remains of worldwide interest 
as an experimental treatment for Parkinson’s disease (PD). However, like other PD 
therapies, heterogeneity in clinical responsiveness exists. To deconstruct this variability, 
our laboratory focuses on the common single nucleotide polymorphism (SNP), rs6265, 
present in the brain-derived neurotrophic factor (BDNF) gene. Our group previously 
reported that homozygous rs6265 (Met/Met) knock-in parkinsonian rats engrafted with 
embryonic wild-type (WT) DA neurons demonstrate paradoxical enhancement of graft 
function compared to their WT counterparts but uniquely develop the side effect known 
as graft-induced dyskinesia (GID). To expand our understanding of the impact of rs6265 
in DA neuron transplantation, I have examined the effect of rs6265 in both host and 
donor as part of my thesis research. Results indicate that functional benefit continues to 
occur more rapidly in the presence of the Met allele regardless of whether found in the 
host or donor. Curiously, Met/Met hosts engrafted with WT DA neurons remain the only 
group to exhibit significant GID behavior. 
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INTRODUCTION 
Parkinson’s disease is a relentlessly progressive neurodegenerative disorder that 
continues to place an immense burden on society (Dorsey et al., 2018; Straccia et al., 
2022; Yang et al., 2020). At its current growth rate, it is estimated that approximately 13 
million people will be diagnosed with PD by the year 2040 (Dorsey et al., 2018; Straccia 
et al., 2022). To treat the symptoms of PD, several pharmacological options are 
available including anticholinergic agents, DA agonists such as levodopa, monoamine 
oxidase inhibitors (MAOIs), and catechol-O-methyltransferase (COMT) inhibitors 
(Stoker & Barker, 2020). Despite the extensive competition, levodopa remains the most 
tolerated and effective pharmaceutical intervention for motor symptoms of PD, even 
after over six decades (Cotzias et al., 1967; Nutt & Wooten, 2005; Poewe et al., 2010; 
Stoker & Barker, 2020).  
Levodopa therapy, however, is not without limitations. While levodopa works well 
for PD patients for some time, individuals eventually are plagued with significant side 
effects (i.e., levodopa-induced dyskinesia (LID)) and waning efficacy as their disease 
progresses. Indeed, based on the results from a large retrospective analysis (Earlier 
versus Later Levodopa therapy in PD study; ELLDOPA), patients reported a range of 
responses to levodopa administration, from 100% improvement to a 242% worsening of 
symptoms assessed by the United Parkinson’s Disease Rating Scale (UPDRS) (Hauser 
et al., 2009). Collectively, the scientific community has recognized that PD is a 
complicated and heterogeneous disease with substantial variability in clinical 
responsiveness to existing therapeutic interventions.  
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An alternative approach aimed at mitigating the heterogenous nature of several 
PD therapies is the regenerative approach of DA neuron transplantation. Currently, the 
method that has had the most success clinically is primary embryonic ventral 
mesencephalic (eVM) DA neuron transplantation into the caudate/putamen (Olanow et 
al., 2009; Steece-Collier & Collier, 2016; Stoker et al., 2017). Unfortunately, similar to 
the heterogeneity demonstrated with levodopa administration, variability in clinical 
responsiveness also exists following cell transplantation. Further, a subpopulation of 
patients who received eVM transplants developed a novel dyskinetic side effect known 
as GID (Freed et al., 2001; Hagell et al., 2002; Olanow et al., 2003). The mechanisms 
underlying GID behavior remain unknown and controversial.  
While the field has historically gained understanding of the role of global risk 
factors (e.g., age, disease severity) in response to cellular transplantation, the role of 
genetic risk factors has been relatively unexplored until two recent studies conducted by 
our group (Mercado et al., 2021, 2024). We explored the common SNP, rs6265, found in 
the BDNF gene, which results in the decrease of activity-dependent release of BDNF 
(Chen et al., 2005; Egan et al., 2003; Urbina-Varela et al., 2020). Also referred to as 
Val66Met, the rs6265 SNP involves a valine to methionine substitution at codon 66 
(Anastasia et al., 2013). Although not correlated with an increased incidence of PD 
(Fedosova et al., 2021; Gorzkowska et al., 2021; Mariani et al., 2015; Shen et al., 
2018), rs6265 has been shown to reduce the therapeutic efficacy of levodopa in PD 
patients (Drozdzik et al., 2014; Fischer et al., 2020; Foltynie et al., 2009; Sortwell et al., 
2021). In the general worldwide population, the prevalence of rs6265 is approximately 
20%; however, in certain East Asian populations, prevalence can reach 72% (Petryshen 
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et al., 2010; Tsai, 2018). The impact of rs6265 leads to a substantial decrease in BDNF 
release (Egan et al., 2003; Urbina-Varela et al., 2020) in roughly 20% of the general 
population.  
Due to the critical role BDNF plays in promoting dendritic spine growth, synapse 
formation, and maturation of DA neurons (Gonzalez et al., 2016; Kowiański et al., 2018; 
Liu et al., 2018; Park & Poo, 2013; Sasi et al., 2017; Urbina-Varela et al., 2020; 
Zagrebelsky et al., 2020), our group previously hypothesized that the rs6265 SNP 
underlies the variability (e.g., GID) in clinical response to DA neuron transplantation in 
PD patients. Using a CRISPR rs6265 knock-in parkinsonian rat model, we 
demonstrated that homozygous rs6265 (aka Met/Met) parkinsonian rats engrafted with 
WT (Val/Val) DA neurons paradoxically exhibited enhanced neurite outgrowth and 
functional recovery compared to WT subjects. However, WT-grafted Met/Met rats 
uniquely demonstrated significant GID induction compared to WT hosts engrafted with 
cells from the same source (i.e., WT DA neurons). Interestingly, GID behavior was 
strongly correlated to expression of vesicular glutamate transporter 2 (VGLUT2), a 
marker of immature DA neurons, in Met/Met host parkinsonian rats (see (Mercado et al., 
2021)). 
Because of the relatively high prevalence of rs6265 in the general population, 
and because only WT DA neuron grafts have been studied, I endeavored to investigate 
functional outcomes of DA transplantation in both the host and donor carrying the 
rs6265 allele. Accordingly, both WT and Met/Met hosts engrafted with either WT or 
Met/Met donor neurons were studied to uncover a potentially optimal host/donor 
combination that would exhibit superior functional benefit with limited side effect liability. 
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Since enhanced functional benefit of the Met allele was reported previously (Barbey et 
al., 2014; Finan et al., 2018; Kailainathan et al., 2016; Krueger et al., 2011; McGregor et 
al., 2019; McGregor & English, 2019; Mercado et al., 2021; Qin et al., 2014; Voineskos 
et al., 2011; Zivadinov et al., 2007), we hypothesized that the Met/Met hosts and/or 
donor neurons would induce significant graft efficacy but also develop the highest GID 
severity. In this study, we report that the homozygous Met/Met genotype, whether found 
in the host or donor, produces a modest, but significant, enhanced behavioral benefit 
(i.e., earlier amelioration of LID) compared to WT hosts engrafted with WT donor 
neurons, indicating that the Met allele does indeed retain a mechanistic benefit in a DA-
grafted parkinsonian rat model similar to our first report (Mercado et al., 2021). 
Unexpectedly, the Met/Met parkinsonian recipients of WT DA grafts remained the only 
host/donor combination to develop significant GID compared to all other grafted 
host/donor groups. While a correlation between VGLUT2 expression and GID severity 
was no longer apparent as in our previous experiment (Mercado et al., 2021), evidence 
collected from this study suggests that there is a possible complex association between 
DA release and GID behavior, warranting further investigation into this phenomenon as 
a promising underlying mechanism of GID. 
186 
 
 
 
 
Animals 
METHODS 
Sprague-Dawley homozygous rs6265 (i.e., Met/Met) male rats (8-9 months at 
lesioning, 13-14 months at sacrifice) were utilized from our in-house colony derived from 
CRISPR knock-in rats generated by Cyagen Biosciences (Santa Clara, CA). These 
knock-in rats carry the valine to methionine substitution in the rat BDNF gene 
(Val68Met). Equivalent to the human Val66Met SNP, the rat rs6265 SNP is located at 
codon 68 (Val68Met) because rats have two additional threonine amino acid residues. 
Moreover, the rat BDNF gene has a 96.8% sequence homology with the human BDNF 
gene (BLAST queries: P23560 and P23363). For this study, both WT and homozygous 
rs6265 Met/Met rat hosts were employed. The Michigan State University Institutional 
Animal Care and Use Committee approved all animal experimental procedures. 
Eight animals were excluded due to failed lesion surgeries. Additional animals 
(N=5) were excluded a priori (i.e., prior to grafting) due to failure to develop effective LID 
prior to cell transplantation. Following postmortem analysis of the transplanted grafts, a 
small number (N=4) of grafted rats were excluded for having few surviving grafted cells 
(<100) or misplaced/cortically-placed grafts. One animal was excluded from analysis as 
a biological outlier (i.e., having a “hotspot” graft) (Maries et al., 2006). Final 
experimental cohorts included N=7 (WT host/sham-graft), N=8 (Met/Met host, sham-
graft), N=7 (Met/Met host, WT graft), N=9 (Met/Met host, Met/Met graft), N=7 (WT host, 
Met/Met graft), and N=6 (WT host, WT graft) (see Figure 3.1).  
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Experimental Design and Timeline 
As shown in the experimental timeline schematic (Figure 3.1), rats were 
rendered unilaterally parkinsonian by an injection of the DA neurotoxin, 6-
hydroxydopamine (6-OHDA), delivered stereotaxically to the substantia nigra pars 
compact (SNpc) and medial forebrain bundle (MFB). Two weeks following stereotaxic 
lesioning surgeries, amphetamine-mediated rotational behavioral was analyzed to 
confirm the lesion status of each animal subject. Following lesion confirmation, 
successfully lesioned rats were primed with daily (M-F) levodopa two weeks later to 
generate significant and stable LID, our primary behavioral measure of graft function 
(i.e., amelioration of LID). Levodopa priming lasted for a total of four weeks, after which 
rats underwent neural transplantation surgery. Rats received intrastriatally placed 
embryonic VM DA neurons from WT (Val/Val), rs6265 (Met/Met), or sham-grafted (cell-
free) donors. Immediately following transplantation surgeries, levodopa was withdrawn 
for one week but then reinitiated for the remainder of the experiment. For a total of 10 
weeks following engraftment, parkinsonian rats were evaluated for amelioration of LID 
behavior, rated every two weeks. At 10 weeks post-engraftment, amphetamine-
mediated rotational behavior was measured as a secondary assessment of graft 
function. As an indication of graft dysfunction, total and peak (70 minutes) 
amphetamine-mediated GID behavior was evaluated at 10 weeks 24 hours after final 
LID assessment.  
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Figure 3.1: Experimental timeline and design. 
(a)  Timeline  of  lesion  and  grafting  surgeries,  behavioral  assessment,  and  drug 
administration.  (b)  Schematic  diagram demonstrating  cell  transplantation  of  embryonic 
day 14 (E14) ventral mesencephalic (eVM) tissue from either WT (Val/Val) Sprague- 
Dawley  male  rats.  eVM  tissue  was  dissected  and  transplanted  into  either  WT  or 
homozygous  rs6265  (Met/Met)  host  parkinsonian  rats.  (c)  Experimental  schematic 
depicting  the  various  host/donor  combination  groups  following  cell  transplantation.  (d) 
Table including the genotype of the graft, donor, and final group sizes. Abbreviations: 6-
OHDA  =  6-hydroxydopaine,  amph  =  amphetamine,  LD  =  levodopa,  LID  =  levodopa-
induced dyskinesia, GID = graft-induced dyskinesia, WT = wild-type, wk = week.  
189 
 
 
 
 
 
Nigrostriatal 6-OHDA Stereotaxic Surgery 
Rats were anesthetized with 2% isoflurane (Sigma St. Louis, MO, USA) and 
positioned in a stereotaxic frame. A total of 2 μL of 6-OHDA was administered at a flow 
rate of 0.5 μL/min to the SNpc (coordinates of 4.8 mm posterior, 2.0 mm lateral, and 8.0 
mm ventral relative to bregma) and the MFB (coordinates of 4.3 mm posterior, 1.6 mm 
lateral, and 8.4 mm ventral relative to bregma). Immediately following lesion surgery, 
rats were given an intraperitoneal (i.p.) injection of 5 mg/kg carprofen (Rimadyl) for pain 
relief. Histological confirmation of successful nigral lesions was performed postmortem 
using the stereological medial terminal nucleus (MTN) DA cell enumeration method 
(Gombash et al., 2014). 
Amphetamine-mediated Rotational Behavior  
As a method to assess lesion status after stereotaxic 6-OHDA lesion surgeries, 
as well as graft function (LID) and dysfunction (GID; see below) following grafting 
surgeries, amphetamine-induced rotational behavior was employed since it is a reliable 
measure of both nigrostriatal DA depletion and function of the graft (e.g., (Collier et al., 
1999, 2015; Dunnett & Torres, 2011; Soderstrom et al., 2008)). Two weeks following 
stereotaxic lesion surgeries, amphetamine rotations were assessed to confirm lesion 
status in each rat subject. Amphetamine sulfate (2.5 mg/kg) was administered i.p. into 
each rat, and rotational behavioral was subsequently recorded for 90 minutes with the 
automated Rotameter System (TSE-Systems, Chesterfield, MO, USA). In order to be 
included for the continuation of the experiment, rats were required to rotate ≥5 ipsilateral 
rotations per minute. Additionally, at 10 weeks post-engraftment, amphetamine rotations 
were manually quantified at one-minute time intervals in the rat’s home cage at 70 
190 
 
minutes post-amphetamine injection during the assessment of GID behavior as a 
secondary readout of graft function.  
Levodopa Administration and LID Ratings  
For a total of four weeks following 6-OHDA lesion surgeries, rats were primed 
with daily (M-F) levodopa (12 mg/kg levodopa/benserazide (1:1); subcutaneous) 
administration. One week after neural transplantation surgeries, levodopa was 
withdrawn from rat subjects in order to prevent any possible toxic interactions between 
levodopa and the grafted DA neurons (Steece-Collier et al., 1990). After the one-week 
interval of no levodopa administration, levodopa was introduced again daily (M-F) 
throughout the remainder of the study.  
We employed a well-established rat LID model as a measure of graft function as 
this behavioral side effect can be improved by dopaminergic neuron grafts in both 
parkinsonian rats (Lane et al., 2006; Lee et al., 2000; Maries et al., 2006; Mercado et 
al., 2021; Soderstrom et al., 2008, 2010) and individuals with PD (Hagell & Cenci, 
2005). LIDs were assessed on days 1, 7, 14, and 21 prior to grafting, and at five post-
graft intervals including weeks 2, 4, 6, 8, and 10. The LID rating scale utilized was 
developed in our lab based on specific criteria aligned with attributes of dyskinesia (refer 
to (Caulfield et al., 2021; Maries et al., 2006)). A blinded investigator assessed LID 
behavior at one-minute intervals at 20, 70, 120, 170, and 220 minutes after levodopa 
administration, following the method previously detailed in (Mercado et al., 2021, 2024). 
A total LID severity score, determined as the sum of the severity and frequency of each 
assessed behavior, was calculated for each animal at each timepoint (Mercado et al., 
2021, 2024). 
191 
 
Donor Tissue Preparation and Neural Cell Transplantation 
After the completion of levodopa priming, rats were assigned to one of six groups 
based on pre-grafted LID severity scores. Rats were blindly and randomly assigned to a 
group in order to ensure that the average LID severity score was statistically similar 
between host/donor groups. The six host/donor combinations groups included two 
sham-grafted groups (WT or Met/Met hosts), Met/Met hosts engrafted with WT DA 
neurons (M/W), Met/Met hosts engrafted with Met/Met DA neurons (M/M), WT hosts 
engrafted with WT DA neurons (W/W) and WT hosts engrafted with Met/Met DA 
neurons (W/M). Rat hosts in each group received intrastriatal transplantations of 
200,000 VM neurons from embryonic day 14 (E14) timed-pregnant donors 
corresponding to the assigned genotype. First, the VM was harvested in cold calcium-
magnesium free (CMF) buffer, and the cells were dissociated according to our standard, 
previously reported protocol (Collier et al., 2015, and Mercado et al., 2021). Briefly, the 
tissue was incubated for 10 minutes at 37°C in CMF buffer containing 0.125% trypsin. 
Cells were then triturated with 0.005% DNase using a 2.0 mm tip Pasteur pipette, 
followed by further trituration with a sterile 3cc, 22-gauge syringe. The resulting cell 
suspension was layered onto sterile fetal bovine serum (FBS) and centrifuged at 1,000 
rpm for 10 minutes at 4°C, then resuspended in 1.0 mL of Neurobasal medium (Gibco, 
Thermo Fisher Scientific, Waltham, MA, USA). Cell number and viability were assessed 
using the trypan blue exclusion method, and the final concentration was adjusted to 
33,333 cells/μL. Cells were kept on ice throughout the surgery and transplanted within 
five hours of preparation. The cells were injected into the striatum at a single rostral-
caudal site (0.2 mm anterior, 3.0 mm lateral to bregma) and distributed at three dorsal-
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ventral (DV) locations of 5.7, 5.0, and 4.3 mm ventral to the skull base (Collier et al., 
2015; Mercado et al., 2021, 2024). A total of 2 µL of the VM cell suspension was 
injected at each DV site (injected at 0.5 µL/min), for a total of 6 µL per rat. WT and 
Met/Met sham-grafted rats received cell-free NeurobasalTM medium using the same 
injection paradigm.  
Graft-induced Dyskinesia (GID) 
Low-dose amphetamine was implemented to assess GID, with rats receiving a 
single 2mg/kg dose of amphetamine sulfate (i.p.). The amphetamine-mediated GID 
behavioral method was utilized based on evidence that DA-grafted, but not sham-
grafted, animals exhibit dyskinetic behaviors in response to low-dose amphetamine 
(Lane et al., 2009; Shin et al., 2012; Smith et al., 2012). A blinded investigator rated GID 
behavior in the same manner and using the same rating scale as described for LID 
since GID appears phenotypically similar to LID in DA-grafted rats. Amphetamine-
induced GIDs were evaluated at 10 weeks post-engraftment since GID are only notable 
upon graft maturation. GID were examined following the final LID assessment.  
The incidence of “total” GID severity and “peak” GID severity, which are both 
illustrated in Figure 3.4, are defined as the number of animals which exhibited a total 
GID severity score of 4 or higher (total) or a peak GID score of 2 or higher (peak). Peak 
GID incidence was observed at 70 minutes post-amphetamine administration. Total and 
peak GID incidence scores were determined in this way based on the fact that a score 
less than four (total) or two (peak) reflects stereotypic behavioral profiles that can occur 
in non-grafted/non-lesioned rats such as typical intermittent licking and chewing 
behavior.  
193 
 
Necropsy 
Euthanasia of the rats was achieved as detailed previously (Mercado et al., 2021 
and 2024). Briefly, rats were deeply anesthetized with phenytoin/pentobarbital (250 
mg/kg; i.p., VetOne, Boise, ID, USA) followed by intracardiac perfusions with room 
temperature 0.9% saline (heparinized) and cold 4% paraformaldehyde. Following 
intracardiac perfusion, each brain was carefully removed and placed into a 4% 
paraformaldehyde solution. The brains remained in this solution for 24 hours at 4°C. 
Next, brains were then submerged into 30% sucrose (4°C); the brains remained in 
sucrose until sectioning. When sectioned, coronal cuts of the brains were made at a 
thickness of 40 µm using a sliding microtome. Cut tissue sections were stored at -20°C 
in cryoprotectant.  
Histology 
Tyrosine hydroxylase (TH) Immunohistochemistry for Stereological Quantification 
of Graft Cell Number and Volume 
Tissue sections were rinsed in Tris-buffered saline containing 0.3% Triton-X 
(TBS-Tx), and then incubated in 0.3% hydrogen peroxide. Afterward, they were blocked 
with 10% normal goat serum (NGS) for 90 minutes. For primary antibody incubation, the 
sections were exposed overnight at room temperature to rabbit anti-TH (see Table 3.1). 
Following primary antibody incubation, the sections were rinsed, incubated with 
biotinylated goat anti-rabbit secondary antibody (Table 3.1), and then developed using 
the avidin/biotin enzyme complex and 3,3'-diaminobenzidine (DAB; 0.5 mg/mL). 
A blinded investigator employed the Stereo Investigator® Optical Fractionator 
method (MBF Bioscience, Williston, VT, USA) to quantify the number of TH-positive 
194 
 
(TH+) cells in the grafted striatum. The 20x objective (numerical aperture 0.75) was 
utilized to count cells on a Nikon Eclipse 80i microscope with a 200 µm x 200 µm 
counting frame. The optical dissector height was set to 20 µm, with a 2.0 µm guard 
zone. This process was performed on 4-12 serial (1:6) TH+ sections, with the number of 
sections varying based on the rostral-caudal spread of the graft. 
To estimate the total graft volume, a blinded investigator used the Stereo 
Investigator® Cavalieri Estimator on the same tissue sections described above. The 
central region of the graft was outlined, and a grid with random sampling points (50 µm 
spacing) was overlaid on the contours. The calculated total estimated graft volume is 
reported in mm³. 
Stereological Quantification of Neurite Outgrowth  
The Stereo Investigator® Spaceballs workflow was employed to stereologically 
determine the extent of graft-derived innervation in the host striatum. The TH+ 
immunolabeled tissue section that contained the largest portion of the graft was 
selected for analysis. Contours (345 µm x 265 µm) were manually drawn proximal and 
distal to the graft in four directions including medial, dorsal, lateral, and ventral. We 
defined the proximal region as 100 µm from the graft and the distal region measuring 
700 µm from the edge of the graft (per (Mercado et al., 2021, 2024)); this generated a 
total of eight contoured measurement sites. Spaceballs was applied to each of the eight 
contours which generated random sampling sites throughout the contour. The spherical 
probe that the Spaceballs workflow employs had a radius measuring 5.0 µm with guard 
zones of 1.0 µm. A blinded investigator collected all neurite density measurements using 
the 60x oil immersion objective on the Nikon Eclipse 80i stereotaxic microscope. The 
195 
 
numerical aperture was 1.40. Data are reported as the estimated average neurite length 
per the volume of the probe (µm/mm³) per grafted TH+ neuron (i.e., neurite density per 
grafted cell). 
Immunofluorescence (IF)  
Full series, DAB-developed TH-labeled sections as described above were used 
as a guide when choosing one representative grafted striatal section for each 
immunofluorescent and in situ hybridization assay. For all protein staining procedures, 
tissue sections were rinsed in TBS-Tx, blocked in 10% NGS/0.3% TBS-Tx, and then 
incubated overnight at 4°C. Tissue sections were then labeled with their respective 
Alexa Fluor™ secondary antibodies (1:500 dilution; see Table 3.1) for 90 minutes at 
room temperature, protected from light exposure. Sections were mounted and 
coverslipped with Vectashield® anti-fade mounting medium with DAPI (H-1500; Vector 
Laboratories, Inc. Burlingame, CA, USA). 
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Table 3.1: Targeted Antigens with corresponding antibodies. 
Secondary antibody catalog numbers are Alexa Fluor®-conjugated and purchased from 
Invitrogen®. 
Fluorescent In Situ Hybridization (FISH) using RNAscopeTM  
In order to examine the impact of the various host/donor genotypes on mRNA 
expression of the two common BDNF receptors, TrkB and p75NTR (Table 3.2) within the 
grafted DA neurons and host striatum, RNAscopeTM in situ hybridization was performed 
according to the manufacturer’s instructions for the RNAscopeTM Multiplex Fluorescent 
V2 Assay kit (Advanced Cell Diagnostics Inc., Hayward, CA, USA). Immunofluorescent 
staining for TH was followed by the completion of RNAscopeTM to stain for grafted DA 
197 
 
 
neurons. Similarly, RNAscopeTM/TH-treated tissue sections were mounted and 
coverslipped using Vectashield® anti-fade mounting medium with DAPI (H-1500; Vector 
Laboratories, Inc. Burlingame, CA, USA). 
Table 3.2: RNA Targets and RNAscopeTM probes. 
Fluorescent Image Acquisition 
All fluorescent images (1024 x 1024) of immunofluorescent and in situ 
hybridization-treated tissue sections were acquired using a Nikon A1 laser scanning 
confocal microscope system that was equipped with a Nikon Eclipse Ti microscope and 
Nikon NIS-Elements AR software. For the TrkB/p75NTR/TH protocol, the 20x 
magnification objective was employed to collect images of inside the graft, outside the 
graft, and the intact striatum of all animals. The 4x objective was used for dopamine 
transporter (DAT)/TH immunohistochemistry staining to allow collection of a full image of 
the entire graft in each striatal section. One image of the intact striatum was used for 
comparison. For both DAT/TH and TrkB/p75NTR mRNA, 2 µm z-stacks with a scan 
speed of 1/8 frame/second were taken. Likewise, 2 µm z-stacks with a scan speed of 
1/8 frame/second were taken of the tissue sections stained for Iba1/GFAP/TH. Z-stacks 
for Iba1/GFAP/TH were acquired using the 10x objective, and two images were taken to 
capture the entirety of the graft. Additional images of the intact striatum were taken for 
comparison. For the VGLUT2 colocalization inside TH+ neurons, the 60x oil-immersion 
objective (numerical aperture of 1.40) was used, and 1.5 µm-thick z-stacks were 
198 
 
 
acquired. The scan speed was 1/8 frame/second. Two representative images for this 
experiment were taken within the dorsolateral area of the DA graft, and one image was 
acquired of the intact striatum for comparison.  
Imaris® Fluorescent Image Quantification 
Triple-label protein mRNA analysis: TH protein and TrkB, p75NTR mRNA 
Three-dimensional (3D) images of the grafted tissue sections labeled for TrkB 
mRNA, p75NTR mRNA, and TH protein were imported into Imaris® and converted to the 
native Imaris®  file format. In order to minimize any background or off-target 
fluorescence, background subtraction was employed. A 3D surface object for the TH+ 
graft was generated using the surface function Imaris® plugin. The spots function was 
then used to select all mRNA puncta for TrkB and p75NTR both inside and outside of the 
grafted neurons. Once created, the same exact parameters were used across all 
images. The “Find Spots Close to surface” MATLAB plugin was utilized to quantify TrkB 
and p75NTR mRNA puncta within the DA graft. Data are represented as the number of 
TrkB and p75NTR mRNA puncta inside TH+ neurons (µm3), as well as total number of 
TrkB and p75NTR mRNA puncta per cell (TH+ and TH- cells) in the striatum. The ratio of 
the quantity of TrkB mRNA transcripts to the quantity of p75NTR mRNA transcripts within 
the TH+ neurons is also reported. 
Dual-label protein analysis: VGLUT2/TH 
Z-stacks of grafted tissue dual-immunolabeled for VGLUT2 and TH proteins were 
imported into Imaris® and converted into its native file format. Background subtraction 
was applied to each image to reduce background fluorescence. The surface function 
was used to generate a precise 3D reconstruction of TH+ neuron fibers within the graft 
199 
 
(µm³). The spots function was employed to detect VGLUT2 protein puncta, with 
consistent parameters applied across all images. Colocalized VGLUT2 puncta were 
then filtered through the Object-Object statistics “Shortest Distance to Surface” function 
to retain only those located within the TH surface. Data are presented as the number of 
VGLUT2 protein puncta within the grafted TH surface (µm³). 
Dual-label protein analysis: Dopamine transporter (DAT) and TH 
Confocal 2D images of dual-immunolabeled tissue for TH and DAT proteins were 
imported into Imaris® and converted into its native file format. To reduce background 
fluorescence in each channel, background subtraction was applied to all images. The 
surface function was then utilized to generate an accurate reconstruction of TH and DAT 
fibers within the graft. Data are expressed as the ratio of the sum of DAT fluorescence 
intensity to DAT surface area (µm²) relative to the sum of TH fluorescence intensity to 
TH surface area (µm²). 
Triple-label protein analysis: Iba1/GFAP/TH  
3D z-stacks of triple-immunolabeled grafted tissue sections for TH, Iba1, and 
GFAP proteins were imported into Imaris® and converted into its native file format. 
Background subtraction was applied to each image to reduce background fluorescence. 
Using semi-automatic thresholding and the surface function plugin, 3D surface objects 
were generated for TH, Iba1, and GFAP. Data are expressed as the Iba1 surface 
volume (µm³) normalized to the graft surface volume (TH; µm³), with GFAP reported 
using the same approach. 
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Statistical Analysis  
LID and GID data are created using ordinal rating scales and were statistically 
analyzed using non-parametric tests including the Kruskal-Wallis test followed by 
Dunn’s multiple comparisons, or the Mann-Whitney U tests with Dunn’s multiple 
comparisons (between subjects). Pre-graft amphetamine-mediated rotational behavior 
was analyzed using a Mann-Whitney test, and post-graft amphetamine-mediated 
rotational behavior was analyzed using the Kruskal-Wallis test with Dunn’s multiple 
comparisons. The amphetamine-mediated time course analysis at each time point (i.e., 
20, 70, 120, 170, and 220 minutes post-administration) was also analyzed using non-
parametric Kruskal-Wallis with Dunn’s multiple comparisons.  
An ordinary One-way ANOVA test with Tukey’s multiple comparisons was 
performed to analyze total enumeration and volume (µm³) of the graft. Results that were 
also analyzed using this test included quantity of VGLUT2 protein/µm³ TH, TrkB:p75NTR 
per TH neuron, DAT sum intensity/µm³, and Iba1 and GFAP volume (µm³) per TH 
neuron. An ordinary One-way ANOAV with Šidák’s post-hoc comparisons was 
conducted for average neurite density both proximal and distal to the graft. 
Mann-Whitney two-tailed tests were conducted for the total of p75NTR mRNA 
puncta inside the TH+ graft comparing the GID+ M/W host/donor group and the three 
other GID- host/donor combinations (i.e., M/M, W/W, W/M; combined based on no 
statistical differences between these GID- groups). In addition, a two-way ANOVA test 
with Tukey’s multiple comparisons was implemented to analyze the quantity of TrkB and 
the quantity of p75NTR mRNA transcripts per cell in the striatum (TH+ and TH- cells).  
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The statistical test used to compare the quantity of VGLUT2 protein per TH 
volume (µm³) between the M/W host/donor group and the combined host/donor group of 
M/M, W/W, W/M was an unpaired, two-tailed t-test to determine specific GID+ vs. GID- 
group comparisons. Also between these groups, this same statistical test was used to 
analyze the ratio of TrkB:p75NTR mRNA transcripts inside TH+ DA neurons. Unpaired, 
two-tailed t-tests were also employed for the total of TrkB mRNA puncta inside the TH+ 
graft between the GID+ M/W host/donor group and the GID- M/M, W/W, W/M combined 
groups. The DAT sum intensity/µm³ was similarly analyzed with this statistical test. 
For all correlations between protein expressions and GID behavior, a non-
parametric Spearman correlation was applied. Statistical outliers, although rate, were 
identified and removed using both the ROUT and Grubb’s outlier tests. If data met 
assumptions for normality and homogeneity of variances, parametric statistical tests 
were employed. All statistical analyses for this study were successfully completed using 
the GraphPad Prism software created for Windows (v.10.4.1).  
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RESULTS 
The homozygous rs6265 (Met/Met) genotype, in either host or donor, 
demonstrates superior graft efficacy and earlier amelioration of LID behavior 
Based on results from previous studies that revealed behavioral benefit of the 
homozygous rs6265 (Met/Met) genotype in a parkinsonian rat model (see (Mercado et 
al., 2021)), traumatic brain injury (TBI) (Barbey et al., 2014; Finan et al., 2018; Krueger 
et al., 2011), and multiple sclerosis (MS) (Zivadinov et al., 2007), I continued to 
hypothesize that the Met allele, whether found in the host or donor, would confer a 
greater degree of graft-derived benefit compared to the WT genotype in response to 
neural transplantation. I theorized that the Met/Met hosts engrafted with Met/Met DA 
neurons would exhibit the greatest degree of benefit with the earliest amelioration of LID 
behavior.  
In keeping with this hypothesis, Met/Met allele carriers, either in the host or in the 
donor neurons, exhibited enhanced behavioral recovery demonstrated by a four-week-
earlier amelioration of LID behavior. Compared to sham-grafted parkinsonian subjects, 
Met/Met hosts engrafted with WT DA neurons (M/W), Met/Met hosts engrafted with 
Met/Met DA neurons (M/M), and WT hosts engrafted with Met/Met DA neurons (W/M) 
showed significant reductions in LID behavior at week 4 post-engraftment (Figure 3.2a; 
Week 4: p = 0.0033 M/W vs. sham, p = 0.0044 M/M vs. sham, p = 0.0301 W/M vs. 
sham). In contrast, it took an additional four weeks for WT hosts engrafted with WT DA 
donor neurons (W/W) to exhibit significant amelioration of LID compared to sham-
grafted animals (Figure 3.2a; Week 8: p = 0.0266 W/W vs. sham). This significant 
difference in WT hosts engrafted with WT donor neurons, however, was lost at the 
203 
 
conclusion of week 10 for this host/donor combination (Figure 3.2a; Week 10: p = 
0.0940), while other Met-allele host/donor combinations exhibited significantly lower LID 
compared to sham-grafted animals for the duration of the study (Figure 3.2a; Week 10: 
p = 0.0003 M/W; p = 0.0202 M/M; p = 0.0217 W/M). Met-allele-carriers (host or donor) 
notably had higher percentages of improvement from pre-graft LID behavior, with the 
Met/Met hosts engrafted with WT DA neurons generating the highest percentage of 
improvement (Figure 3.2b; M/W 75.26 ± 5.67%, M/M 60.00 ± 11.37%, W/M 50.67 ± 
13.74% vs. W/W 42.60 ± 14.34%, Mean ± SEM). 
Our secondary assessment of DA neuron graft function, amphetamine-induced 
rotational behavior, demonstrated that pre-graft amphetamine-mediated ipsilateral 
rotations were not statistically different between WT or Met/Met host rats (Figure 3.2ei; 
p = 0.1465). At 10 weeks post-engraftment, similar to total LID scores, amphetamine 
rotational behavior was significantly reduced in only Met-allele carriers when compared 
to sham-grafted animals (Figure 3.2eiii; p = 0.0013 M/W; p = 0.0010 M/M; p = 0.0088 
W/M). Conversely, the number of amphetamine-mediated ipsilateral rotations in the WT 
hosts engrafted with WT donor neurons was not significantly different than sham-grafted 
subjects (Figure 3.2eiii; p = 0.0539).  
Despite enhanced recovery seen in Met-allele carriers compared to sham-grafted 
subjects, total LID scores and number of amphetamine rotations of the four host/donor 
combinations were not significantly different from each other (Figure 3.2e; p > 0.9999 
between grafted animals from Weeks 4-10 post-engraftment (LID) and p > 0.9999 at 
Week 10 (amphetamine rotations). Nevertheless, these results, along with an earlier 
reduction in LIDs (i.e., Week 4 vs. Week 8) and fewer rotations per minute at 10 weeks 
204 
 
in Met-allele carriers, support that the Met allele remains to confer a degree of benefit 
compared to the WT allele, at least in the context of neural transplantation.  
Figure 3.2: Impact of host/donor genotype on LID behavior and amphetamine-
rotational asymmetry in DA-grafted parkinsonian rats. 
(a) Total LID severity scores for each host/donor combination throughout the duration of 
the  experiment,  including  pre-  and  post-engraftment.  LID  severity  scores  were  not 
significantly different between sham-grafted groups; therefore, sham-grafted groups were 
combined post-engraftment (see inset graph separated by genotype) (p ≥ 0.0999 for all 
time points; Mann-Whitney unpaired two-tailed t-test). Statistics: Non-parametric Kruskal-
Wallis test  with  Dunn’s  multiple  comparisons  at  each  timepoint.  Week  4:  **p  =  0.0033 
M/W host/donor vs. sham-graft, **p = 0.0044 M/M vs. sham-graft, *p = 0.0301 W/M vs. 
sham-graft.  Week  6:  *p  =  0.0418  M/M  vs.  sham-graft;  Week  8:  **p  =  0.0028  M/W  vs. 
sham-graft, *p = 0.0266 W/W vs. sham-graft, *p = 0.0322 W/M vs. sham-graft; Week 10:  
205 
 a) b)  
 
 
Figure 3.2 (cont’d) 
***p = 0.0003 M/W vs. sham-graft, *p = 0.0202 M/M vs. sham-graft, *p = 0.0217 W/M vs. 
sham-graft. At no time point were the grafted groups significantly different from each other 
(p  ≥    0.3644  for  all  time  points).  (b)  Percent  improvement  in  LID  behavior  for  each 
host/donor group, from pre-graft LID scores to LID scores at 10 weeks post-engraftment. 
Statistics:  Non-parametric  Kruskal-Wallis  test  with  Dunn’s  multiple  comparisons,  p  ≥ 
0.2778  for  all  groups.  (c)  Time  course  of  LID  severity  scores  for  individual  animal 
responses at Week 4-10 following levodopa administration. Rats were rated at 20, 70-, 
120-, 170-, and 220-minutes post-injection. Statistics: Non-parametric Kruskal-Wallis test 
with Dunn’s multiple comparisons at each time point post-levodopa injection. Week 4 (20 
minutes): *p  =  0.0243 M/W vs.  sham,  **p  = 0.0097  W/M vs.  sham;  (70  minutes) **p  = 
0.0057 M/M vs. sham; (120 minutes) ***p = 0.0006 M/W vs. sham, *p = 0.0260 W/M vs. 
sham; Week 6 (20 minutes) ***p = 0.0041 M/W vs. sham, **p = 0.0066 W/W vs. sham, 
**p = 0.0028 M/M vs. sham; (70 minutes) *p = 0.0196 W/W vs. sham; Week 8 (20 minutes) 
*p = 0.0107 M/W vs. sham, **p = 0.0099 W/M vs. sham; (70 minutes) *p = 0.0195 W/W 
vs. sham; (120 minutes) **p = 0.0028 M/W vs. sham; (170 minutes) *p = 0.0235 M/W vs. 
sham, *p = 0.0132 M/M vs. sham, *p = 0.0295 W/M vs. sham; Week 10 (20 minutes) *p 
= 0.0245 M/W vs. sham, **p = 0.0091 W/M vs. sham; (70 minutes) **p = 0.0012 M/W vs. 
sham,  *p  =  0.0135  M/M  vs.  sham,  **p    =  0.0093  W/M  vs.  sham;  (120  minutes)  ***p  = 
0.0006 M/W vs. sham, *p = 0.0217 M/M vs. sham; (170 minutes) *p = 0.0228 M/W vs. 
sham.  
c) 
206 
 
 
 
 
 
 
 
Figure 3.2 (cont’d) 
(d) Total LID score for each individual animal at Week 4, 6, 8, and 10 post-engraftment. 
Statistics  (listed  within  graph):  Non-parametric  Kruskal-Wallis  test  with  Dunn’s  multiple 
comparisons at each time point. (e) Amphetamine rotational asymmetry at pre-graft and 
10 weeks post-engraftment. Data are expressed as (i) number of ipsilateral rotations per 
minute (at the 70-minute time point), and (ii, iii) average number of ipsilateral rotations 
per minute at 70 minutes  (Mean ± SEM). Statistics: (i) Mann-Whitney U unpaired two-
tailed t-test, (ii) Two-way ANOVA with Tukey’s multiple comparisons, ****p <0.0001 W/W 
vs. WT sham and W/M vs. WT sham, ***p = 0.0002 M/W vs. Met sham, ****p <0.0001 
M/M  vs.  Met  Sham.  Pre-graft  vs.  post-graft  for  all  groups  p  ≥  0.0034.  No  significant 
differences  in  rotations  were  found  between  grafted  groups,  p  ≥  0.9314.  (iii)  Non-
parametric  Kruskal-Wallis  test  with  Dunn’s  multiple  comparisons. Abbreviations:  LID  = 
levodopa-induced dyskinesia, M/M = Met/Met, LD = levodopa, ns = not significant.  
d) 
207 
 
 
 
 
Cell survival, graft volume, and neurite outgrowth are not significantly affected by 
the WT and/or homozygous rs6265 (Met/Met) genotype in host or donor  
Stereological quantification of TH immunoreactivity indicated that the estimated 
number of surviving transplanted DA neurons was not different between WT and 
homozygous rs6265 (Met/Met) host/donor combinations (Figure 3.3b; Mean ± SEM, 
M/W 2492 ± 508.9; M/M 2284 ± 294.9; W/W 2115 ± 406.7; W/M 1915 ± 219.5, p ≥ 
0.7060 for all comparisons). Likewise, graft volume (mm3) of the DA grafts was not 
statistically significant between genotypic host/donor combinations either (Figure 3.3c; 
Mean ± SEM, M/W 0.3352 ± 0.0661 mm3, M/M 0.2728 ± 0.0257 mm3, W/W 0.2231 ± 
0.0252 mm3, W/M 0.3257 ± 0.0378 mm3; p ≥ 0.2925 for all combinations).  
Previously, Met/Met parkinsonian rats paradoxically demonstrated more 
extensive graft-derived neurite outgrowth in the distal regions of the graft in contrast to 
WT host rats (Mercado et al., 2021). In a Met/Met environment, there is reduced activity-
dependent BDNF release (Egan et al., 2003), and therefore, this finding is unexpected. 
Nonetheless, based on this previous finding, I hypothesized that neurite outgrowth 
would be most extensive in the Met-allele host/donor combinations. However, all 
host/donor combinations, both proximally and distally to the graft, stereologically 
exhibited no differences in neurite outgrowth, reported as the average neurite density 
(µm/mm3) (Figure 3.3e; Proximal average: M/W vs. M/M p = 0.9667; M/W vs. W/W p > 
0.9999; W/W vs. W/M p = 0.9043; M/M vs. W/M p = 0.9986). Data also reveal no 
differences in neurite outgrowth located distal to the graft at any of the regions 
surrounding the graft (i.e., dorsal, ventral, lateral, medial) (Figure 3.3f; Distal average: 
208 
 
M/W vs. M/M p > 0.9999; M/W vs. W/W p > 0.9999; W/W vs. W/M p = 0.9967; M/M vs. 
W/M p = 0.9987).  
Figure 3.3: Impact of host/donor genotype on graft survival and neurite outgrowth 
in DA-grafted parkinsonian rats. 
(a) Histological representation of the DA-grafted parkinsonian striatum (4x) micrograph 
(Scale  bar  =  1000  µm).  (b)  Stereologically  estimated  number  of  surviving  grafted  DA 
neurons. Statistics: Mean ± SEM. One-way ANOVA with Tukey’s multiple comparisons (c) 
Stereologically  estimated  graft  volume  (µm3).  Mean  ±  SEM.  One-way  ANOVA  with 
Tukey’s multiple comparisons. (d) Schematic depiction of grafted DA neurite outgrowth 
analysis. Proximal regions are depicted in blue, and distal regions are depicted in green. 
(e) Average neurite density of grafted DA neurons both proximal and distal to the border 
of the graft. Statistics: Mean ± SEM. Two-way repeated measures ANOVA with Šidák’s  
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Figure 3.3 (cont’d) 
post-hoc  test;  proximal  (p  ≥  0.8276)  and  distal  (p  ≥  0.9967).  (f)  Distal  neurite  density 
comparison between DA-grafted groups separated into each region surrounding the graft. 
Statistics: Mean ± SEM. Two-way ANOVA with Tukey’s multiple comparisons, p ≥ 0.0915 
for all host/donor grafted groups. Abbreviations: Ctx = cortex, Str = striatum, D = dorsal, 
L = lateral, M = medial, V = ventral, ns = not significant.  
e) 
f) 
Homozygous rs6265 (Met/Met) parkinsonian rats engrafted with WT DA neurons 
remain the only host/donor combination to develop aberrant GID behavior 
We previously demonstrated that homozygous rs6265 (Met/Met) parkinsonian 
rats engrafted with WT DA neurons uniquely developed aberrant GID behavior 
compared to WT rats engrafted with WT DA neurons (Mercado et al., 2021). Since the 
Met/Met genotype has a reduction in activity-dependent release of BDNF (Egan et al., 
2003), I postulated that the Met/Met parkinsonian host rats engrafted with Met/Met 
donor DA neurons (M/M) would be the host/donor combination that develops the most 
severe GID behavior compared to other host/donor combinations. In contrast, the 
parkinsonian Met/Met hosts engrafted with WT DA neurons (M/W) strikingly remain the 
only host/donor combination to develop significant GIDs (Figure 3.4). When analyzed 
against sham-grafted parkinsonian subjects, the M/W host/donor group exhibited 
210 
 
 
 
 
approximately an 8-fold increase in total GID severity (Figure 3.4a; M/W 18.21 ± 6.59 
vs. sham 2.16 ± 0.71 p = 0.0406, Mean ± SEM) and peak GID severity (Figure 3.4b; 
M/W 6.79 ± 1.61 vs. sham 0.78 ± 0.35 p = 0.0071, Mean ± SEM). Total GID severity and 
peak GID behavior was not statistically different between other DA-grafted host/donor 
combinations (Figure 3.4a,b, p ≥ 0.6774 (total); p ≥ 0.6318). 
In complement to GID severity, the incidence of GID behavior was also reported. 
Confirming the results of total and peak GID severity, percent GID incidence for total 
and peak GID was the highest in Met/Met parkinsonian rats engrafted with WT DA 
neurons (M/W) (Figure 3.4c, total GID: Mean ± SEM; sham 20.0%, M/W 71.4%, M/M 
66.7%, W/W 33.3%, W/M 42.9%; peak GID: sham 20%, M/W 85.7%, M/M 44.4%, W/W 
33.3%, W/M 28.6%). When amphetamine-mediated GID behavior at 10 weeks post-
engraftment was reported at the rating time points of 20, 70, 120, 170, and 220 minutes 
following amphetamine administration (Figure 3.4d), a statistical difference was 
prevalent at 70-minutes post-injection between the Met/Met hosts engrafted with WT DA 
grafts (M/W) and sham-grafted subjects (Figure 3.4d; M/W vs. sham, p = 0.0071, 70-
minutes). Despite no significant differences exhibited between the GID+ M/W 
host/donor combination and the other GID- DA-grafted host/donor combinations, these 
data further corroborate the findings demonstrated in total and peak GID severity 
between M/W host/donors and sham-grafted animals, ultimately signifying that only 
Met/Met parkinsonian recipients of WT donor neurons display significant aberrant GID. 
While the underlying mechanism of GID behavior remains elusive, our group 
previously demonstrated that grafted DA neurons transplanted into parkinsonian rats 
expressed morphological evidence of atypical, excitatory synapses observed with 
211 
 
positive immunoreactivity to VGLUT2, a marker of glutamatergic neurons (Mercado et 
al., 2021; Soderstrom et al., 2008). Normally, VGLUT2 is expressed in immature 
embryonic DA neurons; however, as the neurons mature, the VGLUT2 phenotype 
disappears (El Mestikawy et al., 2011). In Mercado et al., 2021, not only did the 
transplanted DA neurons retain an immature phenotype, a statistically positive 
correlation between GID severity and VGLUT2 expression was previously reported in 
the Met/Met hosts engrafted with WT DA neurons (Mercado et al., 2021). Based on this 
evidence, I endeavored to investigate, in this current study, whether all host/donor grafts 
retained an immature phenotype (i.e., VGLUT2 expression) and if VGLUT2 expression 
in the Met/Met-WT host/donor parkinsonian rats remained strongly correlated to GID 
behavior.  
Unsurprisingly, as was apparent in (Mercado et al., 2021), each host/donor 
combination (M/W, M/M, W/W, W,M) did not express statistically different quantities of 
VGLUT2 protein within the transplanted DA graft (Figure 3.4f; M/W vs. M/M p = 0.7323; 
M/W vs. W/W p = 0.9978; M/M vs. W/M p = 0.9928; W/W vs. W/M p = 0.8905). Because 
the M/W host/donor group uniquely exhibited GID behavior, the additional groups (i.e., 
M/M, W/W, W/M) were consolidated to compare to the M/W group (Figure 3.4g; GID+ 
group vs. GID- group). No significant differences were observed when reported in this 
manner (GID+ M/W vs. 3 other GID- host/donor groups p = 0.4587). Further, to 
determine whether a correlation still exists between VGLUT2 expression in Met/Met 
hosts with WT grafts and GID behavior, a Spearman correlation was performed (Figure 
3.4h). In this study, the number of VGLUT2 protein expressed within the grafted DA 
neurons was not significantly correlated with total GID severity at 10 weeks post-
212 
 
engraftment (Figure 3.4h; r = 0.3571, p = 0.4444). Despite no longer being statistically 
correlated, a positive trend remains. As the number of VGLUT2 protein expression 
increased, the total GID severity score also increased. As presented below, additional 
evidence suggests that VGLUT2 expression in grafted DA neurons has a complex 
relationship to GID.  
a) 
b) 
c) 
Figure 3.4: Impact of host/donor genotype on development of GID behavior and 
association with VGLUT2 expression. 
(a) Total and (b) peak amphetamine-induced GID severity scores for all host/donor groups 
at week 10 post-engraftment. Statistics: Mean ± SEM. Non-parametric Kruskal-Wallis with 
Dunn’s multiple comparisons, p = 0.0325 M/W vs. sham-graft (total) and p = 0.0071 M/W 
vs.  sham-graft  (peak).  (c)  Percent  incidence  of  total (≥  4) and peak  (≥ 2)  GID severity 
score  in  all  host/donor  groups  at  10  weeks  post-engraftment.  Percentages  are  listed 
above  each  bar.  (d)  Time  course  of  amphetamine-mediated  GID  behavior  in  each 
host/donor at  week 10  post-engraftment at 20,  70-,  120-,  170-, and  220-minutes post-
amphetamine administration. Statistics: Non-parametric Kruskal-Wallis test with Dunn’s  
multiple  comparisons  at  each  time  point  post-amphetamine  injection.  70  minutes:  p  = 
0.0071 M/W vs. sham-graft. (e) Fluorescent image and Imaris 3D reconstruction of DA  
213 
 
 
Figure 3.4 (cont’d)  
(TH+) neurons  positive  for VGLUT2  protein co-expression.  Scale bar =  5  µm.  (f) Total 
quantification of the number of VGLUT2 protein co-localized in TH+ grafted DA neurons 
normalized to the surface volume (µm3) of the graft. Statistics: Mean ± SEM. One-way 
ANOVA with Tukey’s multiple comparisons, p ≥ 0.6513 for all host/donor groups. (g) Total 
quantification of VGLUT2 co-localization inside TH+ grafted DA neurons with the 3 GID- 
host/donor groups combined (i.e., M/M, W/W, W/M host/donor). Statistics: Mean ± SEM. 
Unpaired two-tailed t-test, not significant.  
214 
 d)  
 
 
 
 
 
 
 
Figure 3.4 (cont’d) 
(h) Spearman correlation comparing the total quantity of VGLUT2 co-localized inside TH+ 
neurons  and  total  amphetamine-mediated  GID  severity  scores  at  10  weeks  post-
engraftment. No significance. Abbreviations: GID = graft-induced dyskinesia, VGLUT2 = 
vesicular glutamate transporter 2, TH = tyrosine hydroxylase, ns = not significant, 3OR = 
3 other groups combined (i.e., M/M, W/W, W/M host/donor).  
Homozygous rs6265 (Met/Met) parkinsonian rats engrafted with WT DA neurons 
express lower BDNF receptor transcript ratios (TrkB to p75NTR) 
The two predominant receptors that BDNF binds to include tropomyosin receptor 
kinase B (TrkB) and the pan neurotrophin receptor (p75NTR) (Reichardt, 2006). Upon 
activation of the TrkB receptor, multiple signaling pathways involved in pro-survival and 
dendritic growth/branching are activated (Jaworski et al., 2005; Kumar et al., 2005). In 
contrast, when BDNF is bound to p75NTR, it is generally accepted that pro-apoptotic 
pathways are activated (Friedman, 2000; Meeker & Williams, 2015). In the literature, an 
imbalance between TrkB/ p75NTR proteins has been implicated in neurodegenerative 
rodent models of Huntington’s disease (HD) spine density (Brito et al., 2013; Suelves et 
al., 2019). Therefore, I hypothesized that an imbalance between TrkB and p75NTR 
transcript expression exists, with a prominent upregulation in p75NTR mRNA, and that 
215 
 
 
 
 
this imbalance is correlated with GID in Met/Met parkinsonian rats engrafted with WT 
DA neurons.  
The average quantity of the TrkB mRNA transcripts per cell in the striatum (TH+ 
and non-TH+ cells) was significantly increased in the Met/Met hosts engrafted with 
Met/Met DA neurons, however, only on the intact side (Figure 3.5b; M/W vs, M/M p = 
0.0481; M/M vs. W/M p = 0.0424; M/M vs. W/W p = 0.0383). On the grafted side, TrkB 
transcript expression was normalized in the presence of all DA neuron grafts (i.e., not 
significantly different between DA-grafted groups). Interestingly, p75NTR transcript 
expression was only found to be significantly upregulated between the M/M and W/W 
host/donor groups within the grafted DA neurons (Figure 3.5c; M/M vs. W/W graft p = 
0.0399). Further, slightly increased expression of p75NTR transcripts was present outside 
the DA graft (i.e., in TH- cells located dorsolateral from the graft), albeit this was not 
found to be statistically significant (data not shown).  
Since the imbalance of p75NTR/TrkB receptor expression has specifically been 
implicated in neurodegenerative diseases, we also reported the ratio of TrkB to p75NTR 
mRNA within the grafted TH+ neurons of each host/donor combination. When analyzed 
separately, no significant differences exist between groups (Figure 3.5d). However, 
when the three GID- groups are combined and compared to the GID+ M/W host/donor 
group, there is a notable decrease in the TrkB:p75NTR mRNA ratio in the grafted TH+ 
neurons (Figure 3.5f; M/W vs. M/M, W/M, W/W p = 0.0472), indicative of a relative 
increase in p75NTR receptors. While this was not significantly correlated with GID 
behavior at week 10 post-engraftment (Figure 3.5e; M/W r = -0.4058, p = 0.4333), a 
negative trend is apparent between the TrkB:p75NTR mRNA ratio and GID behavior 
216 
 
where a lower ratio was associated with a higher GID score. Moreover, total p75NTR 
mRNA expression inside grafted TH+ neurons was higher in the GID+ M/W host/donor 
group compared to the three other GID- host/donor combinations, albeit not statistically 
significant (Figure 3.5h; M/W vs. M/M, W/M, W/W p = 0.2824). Total TrkB mRNA 
expression inside grafted TH+ neurons was not different between groups (Figure 3.5g). 
These results suggest there is a trend toward upregulation of p75NTR mRNA expression 
in the M/W host/donor group which could potentially be associated with GID behavior; 
however, additional analyses such as protein expression are warranted.  
a) 
b) 
c) 
Figure 3.5: Impact of host/donor genotype on TrkB and p75NTR BDNF receptor 
transcript expression in DA-grafted parkinsonian rats. 
(a) Confocal fluorescent image and Imaris 3D reconstruction of TrkB and p75
puncta inside DA (TH+) neurons. Scale bar = 10 µm. (b) Total quantity of TrkB mRNA  
NTR
 mRNA 
217 
 
 
 
Figure 3.5 (cont’d) 
transcripts per cell (TH+ and TH-) in the intact and grafted striatum of each host/donor 
combination.  Statistics:  Mean  ±  SEM.  Two-way  ANOVA  with  Tukey’s’  multiple 
comparisons, p = 0.0481 M/W vs. M/M, p = 0.0383 M/M vs. W/W, p = 0.0424 M/M vs. 
W/M  in  the  intact  striatum.  No  significance  was  found  in  the  grafted  striatum  between  
host/donor groups, p ≥ 0.1612 for all groups. (c) Total quantity of p75
 mRNA transcripts 
per cell (TH+ and TH-) in the intact and grafted striatum of each host/donor combination. 
Statistics: Mean ± SEM. Two-way ANOVA with Tukey’s’ multiple comparisons, p = 0.0399 
M/M vs. W/W in the grafted striatum, p ≥ 0.4991 in the intact striatum for all host/donor 
combinations.  (d)  Ratio  of  TrkB:p75
  mRNA  per  TH+  grafted  DA  neuron.  Statistics: 
Mean  ±  SEM.  One-way ANOVA  with  Tukey’s  multiple  comparisons,  p  ≥  0.4189  for  all 
host/donor groups. (e) Ratio of TrkB:p75
 mRNA per TH+ grafted DA neuron with the 3 
GID- host/donor groups combined (i.e., M/M, W/W, W/M host/donor). Statistics: Mean ± 
SEM. Unpaired two-tailed t-test, p = 0.0472 M/W vs. 3OR. (f) Correlation of the ratio of 
TrkB:p75
  mRNA  per  TH+  grafted  DA  neuron  and  GID  score  at  10  weeks  post-
engraftment  in  M/W host/donors and  3OR  combined.  Statistics:  Spearman  correlation, 
not significant.  
NTR
NTR
NTR
NTR
d) 
e) 
218 
 
 
 
 
 
 
 
 
Figure 3.5 (cont’d) 
(g)  Total TrkB  mRNA  transcripts  and  (h)  p75
  alone  inside TH+  grafted  DA  neurons 
between  M/W  host/donor  and  3  other  host/donor  groups.  Statistics:  Mean  ±  SEM. 
Unpaired two-tailed t-tests, no significance. Abbreviations: TrkB = tropomyosin receptor 
kinase  B,  p75
  =  pan  neurotrophin  receptor,  TH  =  tyrosine  hydroxylase,  mRNA  = 
messenger ribonucleic acid, 3OR = 3 other host/donor groups combined.  
NTR
NTR
Aberrant GID behavior in homozygous rs6265 (Met/Met) parkinsonian recipients 
of WT DA grafts is associated with excess DA release 
Excess DA release is one of the mechanisms that has been postulated as an 
underlying cause of GID behavior (Politis, 2010b; Politis et al., 2011; Steece-Collier et 
al., 2012). To gain initial insight into this possible mechanism, I indirectly examined DA 
release in our host/donor combinations using immunohistochemical postmortem 
expression of the DAT protein. DAT is a transmembrane receptor that clears DA from 
the extracellular space following its release into the synapse. In order to clear increased 
concentrations of DA from the synapse, a compensatory upregulation of DAT is required 
(Lohr et al., 2017; Zhu & Reith, 2008). Thus, an increase in DAT expression is a 
surrogate marker indicative of an increase in DA release.  
219 
 
 
 
 
Although not statistically significant when examined as separate host/donor 
combination groups (Figure 3.6b), when combined by GID status, Met/Met hosts 
engrafted with WT DA neurons demonstrated a significant increase in DAT expression 
(i.e., DAT sum intensity/um2) in comparison to the GID- M/M, W/M, and W/W host/donor 
groups (Figure 3.6c; M/W vs. M/M, W/M, W/W p = 0.0085), suggestive of an increase in 
DA release in the GID+ group. Fluorescent intensity in these postmortem analyses is 
equivalent to DAT protein expression since the fluorescent staining pattern of DAT is 
ubiquitous and fills the entire neuron. Although exhibiting increased expression, DAT 
intensity in the M/W host/donor animals was not statistically correlated with total GID 
severity at the conclusion of the study (i.e., 10 weeks post-engraftment, Figure 3.6d), 
suggesting that, in these animals, while enhanced DA release may exist, it alone may 
not be sufficient for GID induction.  
220 
 
Figure 3.6: Impact of host/donor genotype on DAT expression in DA-grated 
parkinsonian rats. 
(a) Representative confocal fluorescent micrograph of depicting staining patterns of the 
dopamine transporter (DAT) and TH in the grafted parkinsonian striatum (cyan = DAT, red 
= TH). Scale bar = 300 µm; 50 µm for the inset image.  (b) DAT expression/fluorescent 
intensity  quantification  in  grafted  DA  neurons.  Data  are  expressed  as  the  sum  DAT 
intensity  per  DAT  surface  area  (µm2).  Statistics:  Mean  ±  SEM.  One-way ANOVA  with 
Tukey’s  multiple  comparisons,  p  ≥  0.2313  in  all  host/donor  groups.  (c)  DAT 
expression/fluorescent  intensity  quantification  in  grafted  DA  neurons,  demonstrated 
between  the  M/W  host/donor  group  and  the  other  host/donor  combinations  combined. 
Statistics:  Mean  ±  SEM.  Unpaired  two-tailed  t-test,  p  =  0.0085.  (d)  Non-parametric  
Spearman correlation between DAT sum intensity/DAT surface area (µm2) and GID score 
at  10  weeks  post-engraftment.  Statistics:  Spearman  correlation,  no  significance. 
Abbreviations:  DAT  =  dopamine  transporter,  TH  =  tyrosine  hydroxylase,  GID  =  graft-
induced dyskinesia.  
221 
 
 
GID behavior in homozygous rs6265 (Met/Met) parkinsonian rats engrafted with 
WT DA neurons is not correlated to immune marker expression in the 
parkinsonian striatum  
Another mechanism that has been speculated to underlie GID induction is 
increased activation of the immune system as detailed in Chapter 1 (Freed et al., 2001; 
Olanow et al., 2003; Soderstrom et al., 2008; Steece-Collier et al., 2012). Since existing 
evidence points to a promising influential role of the immune system in GID induction 
(Freed et al., 2001; Hagell et al., 2002; Olanow et al., 2003; Soderstrom et al., 2008), I 
investigated the expression of two common immune markers including ionized calcium-
binding adaptor molecule 1 (Iba1) and glial fibrillary acidic protein (GFAP) to provide a 
cursory examination in this study.  
Microglial (Iba1) is an immune marker involved in generation and elimination of 
synaptic connections (Tremblay et al., 2011). In this study, Iba1 was used as an 
indication of inflammation and quantified in the striatum of all host/donor subjects. As a 
marker for astrocytes, which, upon immune activation, can release proinflammatory 
cytokines and chemokines (Giovannoni & Quintana, 2020), GFAP was analyzed as 
another indicator of inflammation. I hypothesized that Iba1 and GFAP expression would 
be increased in M/W host/donors, and that this would correlate to GID behavior. Iba1 
and GFAP expression were reported as Iba1 volume (µm3)/TH+ neuron and GFAP 
volume (µm3)/TH+ neuron, respectively.  
Contrary to this hypothesis, Iba1 expression per TH+ neuron was not significantly 
different between genotypic host/donor combinations, even when M/M, W/M, and W/W 
(GID-) groups are combined (Figure 3.7bc; M/W vs. M/M, W/M, W/W p = 0.2894). 
222 
 
Moreover, Iba1 expression was also not correlated to GID behavior (Figure 3.7d; M/W r 
= 0.2674, p = 0.2834). Likewise, the same outcome was demonstrated for GFAP 
expression (Figure 3.7ef; M/W vs. M/M, W/M, W/W p = 0.5260). While there is a slight 
positive trend between GFAP expression and total GID severity 10 weeks post-
engraftment, statistical significance was not apparent (Figure 3.7g; M/W r = 0.1786, p = 
0.7131).  
Figure 3.7: Impact of host/donor genotype on immune marker (Iba1 and GFAP) 
expression in parkinsonian rats. 
(a)  Representative  confocal  fluorescent  micrograph  illustrating  the  presence  of  Iba1+ 
(red) and GFAP+ (cyan) cells in the grafted parkinsonian striatum. Scale bar = 20 µm. (b) 
Quantity of Iba1+ cells normalized to the number of TH+ grafted DA neurons, expressed 
as Iba1 volume (um3)/TH neuron in each host/donor combination. Statistics: Mean ± SEM. 
One-way ANOVA with Tukey’s multiple comparisons, p ≥ 0.3433 in all host/donor groups. 
(c) Quantity of Iba1 volume (um3)/TH neuron between the M/W host/donor group and the  
3 other host/donor combinations combined. Statistics: Mean ± SEM. Unpaired two-tailed 
t-test, no significance (p = 0.2894). (d) Spearman correlation between quantity of Iba1  
223 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Figure 3.7 (cont’d) 
volume (um3)/TH neuron and total GID severity at 10 weeks post-engraftment. Statistics: 
Spearman  correlation,  no  significance.  (e)  Quantity  of  GFAP+  cells  normalized  to  the 
number of TH+ grafted DA neurons, expressed as Iba1 volume (um3)/TH neuron in each 
host/donor combination. Statistics: Mean ± SEM. One-way ANOVA with Tukey’s multiple 
comparisons, p ≥ 0.5161 in all host/donor groups. (f) Quantity of GFAP volume (um3)/TH 
neuron  between  the  M/W  host/donor  group  and  the  3  other  host/donor  combinations 
combined.  Statistics:  Mean  ±  SEM.  Unpaired  two-tailed  t-test,  no  significance  (p  = 
0.5260). (g) Spearman correlation between quantity of GFAP volume (um3)/TH neuron 
and total GID severity at 10 weeks post-engraftment. Statistics: Spearman correlation, no 
significance. Abbreviations: Iba1 = Ionized calcium binding adaptor molecule 1, GFAP = 
glial  fibrillary  acidic  protein,  3  other  host/donor  groups  combined,  GID  =  graft-induced 
dyskinesia.  
224 
 
 
 
 
 
DISCUSSION 
The primary objective of DA neuron transplantation therapy is to provide a safe 
and effective additional or alternative treatment option to the current therapies (e.g., DA 
replacement therapy) used to treat PD. However, while substantial progress has been 
made in neural grafting over the past two decades (Barker et al., 2024), mechanisms 
underlying heterogeneity in clinical responsiveness remains unknown with GID 
remaining a significant, aberrant side effect. Despite reinvigorated interest, with several 
clinical trials planned or ongoing ((Barker et al., 2019); clinical trial identifier examples 
NCT04802733, NCT01898390, NCT03309514, NCT03119636, NCT04146519), the 
question remains whether we understand the mechanisms underlying regenerative cell 
therapy enough for its safe incorporation into clinical practice. Until we can achieve 
optimal benefit while preventing side effect liability, neural transplantation will not be 
considered a viable, effective alternative therapeutic option for individuals with PD.  
As discussed previously, our laboratory became interested in the common human 
SNP, rs6265, as a potential risk factor underlying the variability of clinical outcomes in 
DA neuron transplantation. Using a CRISPR knock-in parkinsonian rat model of the 
rs6265 SNP, we have demonstrated that homozygous rs6265 (i.e., Met/Met) 
parkinsonian rats engrafted with WT DA neurons exhibited enhanced therapeutic 
efficacy evidenced by earlier and more robust amelioration of LID behavior post-
engraftment in comparison to grafted WT subjects. Moreover, a paradoxical 
enhancement of graft-derived neurite outgrowth was reported in these Met/Met animals 
(Mercado et al., 2021). This finding was contrary to our hypothesis since BDNF normally 
promotes dendritic spine and synapse formation within the striatum (Gonzalez et al., 
225 
 
2016; Kowiański et al., 2018; Park & Poo, 2013; Sasi et al., 2017; Zagrebelsky et al., 
2020) and increases graft-derived innervation in parkinsonian rats (Yurek, 1998; Yurek 
et al., 1996). Because the Met/Met genotype has decreased activity-dependent release 
of BDNF, we had theorized that grafted Met/Met parkinsonian rats would demonstrate 
diminished neurite outgrowth instead.  
While seemingly a paradoxical phenomenon, research groups of other disease 
models have also highlighted a benefit of the rs6265 Met allele. For example, Met-allele 
carriers expressed enhanced recovery and axon regeneration following TBI in combat 
veterans (Barbey et al., 2014; Finan et al., 2018; Krueger et al., 2011). Remarkably, 
Met-allele carriers with MS (Zivadinov et al., 2007) or late-stage AD (Voineskos et al., 
2011) have reported a reduction in cognitive decline compared to WT patients. Other 
preclinical studies in rodents have also reported similar findings (McGregor et al., 2019; 
McGregor & English, 2019). Collectively, this evidence supports the notion that the 
rs6265 SNP may confer protective, or neuroregenerative, effects in disease and likely 
has an evolutionary benefit (Di Pino et al., 2016).  
Intriguingly, the BDNF prodomain/pro-peptide has been recently speculated as 
being responsible for the potential neuroregenerative effect of the Met allele. Because 
the rs6265 SNP is found within the BDNF prodomain/pro-peptide region, and because 
the pro-peptide has recently been discovered to function as an independent ligand 
similar to that of proBDNF and mature BDNF (Anastasia et al., 2013), it is reasonable to 
suggest that the Met BDNF pro-peptide could have an unexpected benefit of growth-
enhancing properties in neural grafting. While some evidence shows differential 
functions of the Val- and Met-type BDNF pro-peptide (e.g., (Anastasia et al., 2013), 
226 
 
findings are limited to the hippocampus, and further research will be required to fully 
elucidate their function in the grafted parkinsonian striatum (see (Szarowicz et al., 2022) 
for a comprehensive discussion of the BDNF pro-peptide).  
With our current study, I endeavored to investigate rs6265 in both host and donor 
neurons on functional outcomes of neural transplantation to understand fully the impact 
of the Met allele in the host and donor. Due to the high prevalence of rs6265 in the 
general population (i.e., 20%) (Petryshen et al., 2010; Tsai, 2018), the odds of a PD 
patient receiving a graft containing a Met allele is inevitable. Studies which precede this 
(Mercado et al., 2021, 2024) only engrafted WT DA neurons, and to our knowledge, this 
is the first experiment of its kind to examine rs6265 in both host and donor in a 
parkinsonian rat model. Thus, we engrafted WT and Met/Met parkinsonian host rats with 
either WT or Met/Met donor neurons, generating six different host/donor combinations 
including sham-grafted subjects. My goal was to determine the optimal host/donor 
combination that retained graft-derived functional benefit but had diminished side effect 
liability (i.e., GID). 
As the primary behavioral readout of graft function, amelioration of LID was 
employed. In our previous study, Met/Met parkinsonian host rats engrafted with WT DA 
neurons demonstrated earlier and more robust amelioration of LID behavior over the 
entire 10-week time course compared to their WT counterparts (Mercado et al., 2021). 
In the current study, I hypothesized that host and/or donors with the Met/Met genotype 
would retain behavioral benefit and exhibit earlier amelioration of LID, based on our 
previous research and other evidence of the Met-allele benefit as discussed above 
(Barbey et al., 2014; Finan et al., 2018; Krueger et al., 2011; McGregor et al., 2019; 
227 
 
McGregor & English, 2019). In line with this hypothesis, the Met/Met genotype permitted 
a slightly earlier functional recovery (i.e., lower LID behavior), regardless of host or 
donor, when compared to WT hosts engrafted with WT DA neurons. All grafted groups 
in which the Met/Met genotype was present demonstrated a significant functional 
benefit (i.e., decrease in LID) starting at week four post-engraftment, whereas the 
WT/WT (host/donor) group did not demonstrate statistically significant recovery until 
week eight post-engraftment. Interestingly, at the completion of the study (10 week post-
engraftment), the WT/WT host/donor rats lost statistically significant functional benefit 
while the LID behavior of the other three Met/Met host/donor groups remained 
significantly lower compared to sham-grafted animals.  
I also employed amphetamine-mediated rotational behavior as a secondary 
readout of graft function (Collier et al., 1999, 2015; Dunnett & Torres, 2011; Soderstrom 
et al., 2008). Not only does the Met/Met genotype permit behavioral recovery through 
amelioration of LID behavior, these animals also exhibited a lower number of ipsilateral 
amphetamine-induced rotations per minute at 10 weeks post-engraftment. For example, 
similar to LID analysis, the groups containing a Met/Met genotype (i.e., M/W, M/M, W/M 
host/donors) collectively demonstrated a statistically significant reduction in 
amphetamine-mediated rotations compared to sham-grafted rats at 10 weeks post-
engraftment. This difference was not apparent in the WT/WT host/donor subjects. 
Results collected from LID ratings and amphetamine rotational analysis further confirm 
that the Met-allele indeed retains functional benefit.  
Although a significant increase in neurite outgrowth was prevalent in Met/Met 
hosts engrafted with DA neurons in our previous study (Mercado et al., 2021), this 
228 
 
difference was not apparent in this current experiment 10 weeks post-engraftment. 
Estimated total grafted DA neurons and graft volume (µm3) were the same across 
host/donor combinations. Likewise, neurite density measurements per grafted DA 
neuron were not different among host/donor combinations, either proximal or distal 
distances from the graft. Because a notable difference is no longer detected, it is 
possible that the Met-allele-containing groups showed earlier enhanced outgrowth 
supported by functional data that was lost to detection over the 10 week time span, or it 
can be speculated that these animals have similar neurite densities because of more 
advanced host age: these rats are slightly older than those in our previous study 
(Mercado et al., 2021) by 2-3 months. Notably, in our middle-aged cohort (Mercado et 
al., 2024), enhanced neurite outgrowth between Met/Met and WT hosts was also no 
longer evident at 10 weeks post-engraftment. Therefore, the modest increase in age 
could have had an effect on neurite outgrowth in the animals of this current study, 
reaching a threshold and no longer presenting as an enhancement in the Met/Met 
genotype. As this is only speculation, an age-matched experiment would be necessary 
in the future.  
Because our overarching hypothesis was based on the idea that a decrease in 
activity-dependent BDNF release (i.e., rs6265) could underlie the variability in clinical 
responsiveness to neural grafting (i.e., GID induction), we postulated that Met/Met hosts 
engrafted with Met/Met donor neurons would display the greatest severity of GID 
behavior since both host and donor have a deficit in released BDNF. Unexpectedly, 
however, Met/Met hosts engrafted with WT DA neurons were the only group to develop 
significant GIDs compared to all other host/donor combinations. Although unexpected, 
229 
 
this finding does corroborate our findings in (Mercado et al., 2021), which demonstrated 
that Met/Met hosts engrafted with WT DA neurons uniquely developed GID compared to 
WT hosts. Nevertheless, a possible explanation as to why GID only develop in the M/W 
host/donor animals remains unknown. 
An earlier publication by our group ultrastructurally demonstrated that grafted DA 
neurons make asymmetric, atypical (presumed glutamatergic) synapses onto host 
MSNs in the striatum, and that the presence of these synapses positively correlated to 
increased GID behavior (Soderstrom et al., 2008). Consistent with these findings, 
Mercado and colleagues later reported that GID behavior in Met/Met host rats was 
strongly correlated to expression of VGLUT2 protein in the grafted DA neurons 
(Mercado et al., 2021). This is indicative that the grafts are maintaining an immature 
phenotype following transplantation, forming glutamatergic (asymmetric) synaptic 
connections onto striatal MSNs (El Mestikawy et al., 2011). Therefore, in my study, I 
also investigated the expression, and potential correlation, between VGLUT2 and GID 
behavior in the M/W host/donor group to ascertain whether this phenomenon was 
preserved. No longer was a statistical correlation found between VGLUT2 expression 
and GID behavior in these animals; however, a similar trend still existed. Due to the 
expression of VGLUT2 in the grafted neurons, it is still apparent that these grafts are 
maintaining an immature phenotype, yet this phenotype alone may not be sufficient to 
underlie GID behavior.  
As discussed above, it has been reported that an imbalance between TrkB/ 
p75NTR proteins is implicated in neurodegenerative rodent models such as HD (e.g., 
(Suelves et al., 2019)). Specifically, Suelves and colleagues investigated the impact of 
230 
 
the p75NTR/TrkB imbalance on motor behavior and striatal neuropathology in a HD 
mouse model (Suelves et al., 2019). Their results demonstrated increased levels of 
p75NTR in the striatum of HD mice associated with the manifestation of motor 
abnormalities and a decrease in dendritic spine density. Once p75NTR levels were 
genetically normalized, dendritic spine density was rescued, and motor deficits were 
delayed (Suelves et al., 2019). Other studies have similarly confirmed these findings 
(see (Brito et al., 2013; Zagrebelsky et al., 2020; Zuccato et al., 2008)). Of note, p75NTR 
can also play a critical role in glutamate synaptogenesis where its activation can 
influence synapse development and glutamate release (Numakawa et al., 2003; Wang 
et al., 2022).  
Because of the aberrant nature of grafted DA synapses onto MSN dendrites in 
the presence of decreased spine densities in the parkinsonian striatum (e.g., 
(Soderstrom et al., 2008)), I hypothesized that an imbalance between TrkB and p75NTR 
transcript and receptor expression, with a propensity toward p75NTR upregulation, would 
correlate with GID behavioral development in Met/Met parkinsonian rats engrafted with 
WT DA neurons. Since upregulation of p75NTR has been associated with a decrease in 
dendritic spine density (Reichardt, 2006; Zagrebelsky et al., 2005), it is reasonable to 
suggest that, if the M/W host/donor group presents with an increase in p75NTR, they may 
also demonstrate decreased spine density, which could impact synaptic circuitry 
between the host MSNs and the grafted DA neurons, ultimately leading to GID 
development. Moreover, if an upregulation of p75NTR is found within the grafted DA 
neurons, it could suggest an activation of glutamate release from the DA neurons onto 
host MSNs.  
231 
 
Expectedly, in the intact striatum, there was an upregulation of TrkB mRNA 
expression in the Met/Met parkinsonian hosts engrafted with Met/Met DA neurons. 
Mercado and colleagues previously noted a similar finding where the intact side of the 
Met/Met parkinsonian hosts demonstrated an upregulation of TrkB mRNA compared to 
WT hosts (Mercado et al., 2021). Biologically, an upregulation of TrkB is expected in the 
homozygous rs6265 Met/Met genotype as there is a decrease in BDNF in the brain 
microenvironment (Egan et al., 2003). Additionally, we report no differences in TrkB 
mRNA expression in grafted DA neurons of all host/donor combinations, which is also in 
confirmation of the findings reported by Mercado and colleagues where Met/Met and 
WT DA-grafted parkinsonian animals expressed similar levels of TrkB mRNA (Mercado 
et al., 2021). Likewise, expression of p75NTR mRNA was not statistically different 
between groups in the intact striatum or grafted DA neurons; however, there appeared 
to be a slight increase in p75NTR transcripts inside the graft in M/W host/donor animals. 
Variability within this group was substantial and likely accounts for the lack of statistical 
significance of this increase.  
Most importantly, when reported as a ratio (i.e., TrkB:p75NTR) within TH+ neurons, 
GID+ M/W host/donor rats exhibit a significantly lower ratio compared to the three other 
GID- host/donor groups combined, suggesting that there are more p75NTR transcripts 
per grafted DA neuron than TrkB transcripts in this host/donor combination. Based on 
the mechanism of action known for p75NTR (Friedman, 2000; Teng et al., 2005; Woo et 
al., 2005), we can infer that an increased presence of p75NTR may prevent proper 
formation of typical, symmetric DA neuron circuitry, potentially causing GID. Additionally, 
p75NTR activation on the grafted DA neurons could lead to glutamate release onto host 
232 
 
MSNs, also potentially resulting in GID (see DA/glutamate co-transmission below). 
Nevertheless, total GID severity at 10 weeks post-engraftment was not statistically 
correlated with the TrkB:p75NTR ratio, indicating that this imbalance may still be 
necessary but not a sufficient sole contributor of GID. Since the quantity of mRNA 
transcripts does not always coincide 1:1 to protein expression, further studies that 
examine both TrkB and p75NTR protein levels are necessary to definitively determine the 
role of these receptors in this animal model. Furthermore, investigating activation state 
of BDNF receptors (e.g., phosphorylated) could provide additional insight into any 
potential changes in activity that could correlate to the expression of aberrant GID 
behaviors. 
A consistent mechanism that has been posited as underlying GID behavior is 
uneven and/or excess DA release. Specifically, excess DA was first reported in PD 
patients who developed aberrant GID in the first double-blind clinical trials (for review 
(Piccini et al., 1999; Politis, 2010a; Politis et al., 2011)). Supporting the role of DA and 
its receptors in GID, Shin and colleagues demonstrated confirmatory evidence in DA-
grafted parkinsonian rats, demonstrating that pharmacological blockade of D2 (i.e., 
eticlopride, buspirone) and D1 (i.e., SCH23390) receptors resulted in almost complete 
amelioration of GID behavior. Moreover, although buspirone is also primarily considered 
a partial 5-HT receptor agonist, blockade of D2 was found to be independent from 
activation of 5-HT because its effect was not prevented by a 5-HT antagonist (Shin et 
al., 2012). This preclinical model ultimately supports the action of buspirone in D2 
receptor antagonism and points to a promising role of DA release in GID behavior.  
233 
 
Therefore, I analyzed immunohistochemical expression of DAT as a surrogate 
marker of DA release in postmortem tissue. Confirming my hypothesis, GID+ M/W 
host/donor animals demonstrated a significant increase in DAT expression (DAT sum 
intensity/µm3) compared to the three other GID- host/donor groups (i.e., M/M, W/M, 
W/W), indirectly indicating that more DA is being released in the M/W host/donor 
parkinsonian rats. Because Mercado and colleagues illustrated that there was an 
upregulation of Drd2 mRNA (DA D2 receptor) in Met/Met hosts (Mercado et al., 2024) 
compared to WT hosts, it is further reasonable to speculate that increased DA release 
from the WT graft in an environment with (presumably) upregulated D2 receptors could 
increase activation of host MSNs, subsequently permitting GID behavior. Despite this 
logical postulation, there was no statistical correlation between GID severity and DAT 
expression, again suggesting that, while an increase in DAT expression may be 
necessary, DAT expression alone may not be sufficient to induce GID behavior. 
Additional studies that examine direct release of DA will be necessary.   
Immune system activation is another promising mechanism that could potentially 
underlie GID behavior. As stated above, our group has previously shown that DA-
grafted parkinsonian rats exhibited increased GID severity following immune challenge 
(Soderstrom et al., 2008). In grafted patients with PD, GID developed upon cessation of 
immune suppression (Hagell & Cenci, 2005; Olanow et al., 2003). Therefore, I 
investigated two common markers of the immune system including Iba1 (microglia) and 
GFAP (astrocytes) to provide cursory insight into whether the immune system impacted 
GID expression in my studies. However, no obvious differences were found between 
host/donor combinations in either Iba1 or GFAP expression. Moreover, no correlation 
234 
 
was exhibited between Iba1 or GFAP expression and total GID severity at the 
conclusion of the study. Although no correlation was evident with these specific 
markers, a role for immune activation should not be excluded as a potential GID 
mechanism based on historical data. Here, only pan markers for microglia and 
astrocytes that stain nearly all Iba1+ and GFAP+ cells in the brain were employed. 
Markers for activated immune factors such as major histocompatibility complex 2 (MHC-
II) should be utilized for greater specificity in the future. Additionally, directly assessing 
the connection between immune suppression and GID induction in association with the 
rs6265 SNP in this parkinsonian rat model is warranted.  
It is highlighted here that graft-derived functional benefit of the rs6265 (Met/Met) 
genotype is retained in parkinsonian rats whether it is found in the host or donor, and 
that the Met/Met hosts engrafted with WT DA neurons remain the only host/donor 
combination to develop aberrant GIDs. While we are aware that advances in the clinical 
grafting field have been made, with several clinical trials planned or ongoing ((Barker et 
al., 2019); clinical trial identifier examples NCT04802733, NCT01898390, 
NCT03309514, NCT03119636, NCT04146519), we recognize that a gap in our 
understanding regarding the underlying mechanism of GID still exists. In our continuing 
investigation of GID, we have established a probable role of excess DA release in this 
aberrant behavior—a finding that has been also supported in grafted PD patients who 
received buspirone (a drug with DA antagonist properties) that successfully reduced 
their GID (Politis, 2010a; Politis et al., 2011; Steece-Collier et al., 2012). The exact 
mechanism(s) that result in the association between GID and DA release warrants 
further investigation in preclinical models and clinical trials. Moreover, because it is not 
235 
 
common practice in clinical grafting trials, our strong cumulative data suggests that both 
participants and donor neurons are genotyped for the rs6265 SNP prior to 
transplantation. Once the field can harness the benefit, while preventing the detriment, 
of the rs6265 SNP, regenerative cell therapy has the potential to be a fully optimized 
therapeutic option to treat not only PD, but also other neurodegenerative and 
neurological disorders.  
236 
 
 
 
BIBLIOGRAPHY 
Anastasia, A., Deinhardt, K., Chao, M. V., Will, N. E., Irmady, K., Lee, F. S., 
Hempstead, B. L., & Bracken, C. (2013). Val66Met polymorphism of BDNF alters 
prodomain structure to induce neuronal growth cone retraction. Nature 
Communications, 4. https://doi.org/10.1038/ncomms3490 
Barbey, A. K., Colom, R., Paul, E., Forbes, C., Krueger, F., Goldman, D., & Grafman, J. 
(2014). Preservation of general intelligence following traumatic brain injury: 
Contributions of the Met66 brain-derived neurotrophic factor. PLoS ONE, 9(2). 
https://doi.org/10.1371/journal.pone.0088733 
Barker, R. A., Björklund, A., & Parmar, M. (2024). The history and status of dopamine 
cell therapies for Parkinson’s disease. BioEssays. 
https://doi.org/10.1002/bies.202400118 
Barker, R. A., Farrell, K., Guzman, N. V., He, X., Lazic, S. E., Moore, S., Morris, R., 
Tyers, P., Wijeyekoon, R., Daft, D., Hewitt, S., Dayal, V., Foltynie, T., Kefalopoulou, 
Z., Mahlknecht, P., Lao-Kaim, N. P., Piccini, P., Bjartmarz, H., Björklund, A., … 
Winkler, C. (2019). Designing stem-cell-based dopamine cell replacement trials for 
Parkinson’s disease. Nature Medicine, 25(7), 1045–1053. 
https://doi.org/10.1038/s41591-019-0507-2 
Brito, V., Puigdellívol, M., Giralt, A., Del Toro, D., Alberch, J., & Ginés, S. (2013). 
Imbalance of p75NTR/TrkB protein expression in Huntington’s disease: Implication 
for neuroprotective therapies. Cell Death and Disease, 4(4). 
https://doi.org/10.1038/cddis.2013.116 
Caulfield, M. E., Stancati, J. A., & Steece-Collier, K. (2021). Induction and Assessment 
of Levodopa-induced Dyskinesias in a Rat Model of Parkinson’s Disease. Journal 
of Visualized Experiments, 176. https://doi.org/10.3791/62970-v 
Chen, Z. Y., Ieraci, A., Teng, H., Dall, H., Meng, C. X., Herrera, D. G., Nykjaer, A., 
Hempstead, B. L., & Lee, F. S. (2005). Sortilin controls intracellular sorting of brain-
derived neurotrophic factor to the regulated secretory pathway. Journal of 
Neuroscience, 25(26). https://doi.org/10.1523/JNEUROSCI.1017-05.2005 
Collier, T. J., O’Malley, J., Rademacher, D. J., Stancati, J. A., Sisson, K. A., Sortwell, C. 
E., Paumier, K. L., Gebremedhin, K. G., & Steece-Collier, K. (2015). Interrogating 
the aged striatum: Robust survival of grafted dopamine neurons in aging rats 
produces inferior behavioral recovery and evidence of impaired integration. 
Neurobiology of Disease, 77. https://doi.org/10.1016/j.nbd.2015.03.005 
Collier, T. J., Sortwell, C. E., & Daley, B. F. (1999). Diminished Viability, Growth, and 
Behavioral Efficacy of Fetal Dopamine Neuron Grafts in Aging Rats with Long-Term 
Dopamine Depletion: An Argument for Neurotrophic Supplementation. The Journal 
of Neuroscience, 19(13), 5563–5573. https://doi.org/10.1523/JNEUROSCI.19-13-
05563.1999 
237 
 
Cotzias, G. C., Van Woert, M. H., & Schiffer, L. M. (1967). Aromatic Amino Acids and 
Modification of Parkinsonism. New England Journal of Medicine, 276(7), 374–379. 
https://doi.org/10.1056/NEJM196702162760703 
Di Pino, G., Pellegrino, G., Capone, F., Assenza, G., Florio, L., Falato, E., Lotti, F., & Di 
Lazzaro, V. (2016). Val66Met BDNF Polymorphism Implies a Different Way to 
Recover From Stroke Rather Than a Worse Overall Recoverability. 
Neurorehabilitation and Neural Repair, 30(1), 3–8. 
https://doi.org/10.1177/1545968315583721 
Dorsey, E. R., Elbaz, A., Nichols, E., Abbasi, N., Abd-Allah, F., Abdelalim, A., Adsuar, J. 
C., Ansha, M. G., Brayne, C., Choi, J.-Y. J., Collado-Mateo, D., Dahodwala, N., Do, 
H. P., Edessa, D., Endres, M., Fereshtehnejad, S.-M., Foreman, K. J., Gankpe, F. 
G., Gupta, R., … Murray, C. J. L. (2018). Global, regional, and national burden of 
Parkinson’s disease, 1990–2016: a systematic analysis for the Global Burden of 
Disease Study 2016. The Lancet Neurology, 17(11), 939–953. 
https://doi.org/10.1016/S1474-4422(18)30295-3 
Drozdzik, M., Bialecka, M., & Kurzawski, M. (2014). Pharmacogenetics of Parkinson’s 
Disease – Through Mechanisms of Drug Actions. Current Genomics, 14(8). 
https://doi.org/10.2174/1389202914666131210212521 
Dunnett, S. B., & Torres, E. M. (2011). Rotation in the 6-OHDA-Lesioned Rat (pp. 299–
315). https://doi.org/10.1007/978-1-61779-298-4_15 
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., 
Zaitsev, E., Gold, B., Goldman, D., Dean, M., Lu, B., & Weinberger, D. R. (2003). 
The BDNF val66met polymorphism affects activity-dependent secretion of BDNF 
and human memory and hippocampal function. Cell, 112(2). 
https://doi.org/10.1016/S0092-8674(03)00035-7 
El Mestikawy, S., Wallén-Mackenzie, Å., Fortin, G. M., Descarries, L., & Trudeau, L.-E. 
(2011). From glutamate co-release to vesicular synergy: vesicular glutamate 
transporters. Nature Reviews Neuroscience, 12(4), 204–216. 
https://doi.org/10.1038/nrn2969 
Fedosova, A., Titova, N., Kokaeva, Z., Shipilova, N., Katunina, E., & Klimov, E. (2021). 
Genetic markers as risk factors for the development of impulsive-compulsive 
behaviors in patients with parkinson’s disease receiving dopaminergic therapy. 
Journal of Personalized Medicine, 11(12). https://doi.org/10.3390/jpm11121321 
Finan, J. D., Udani, S. V., Patel, V., & Bailes, J. E. (2018). The Influence of the 
Val66Met Polymorphism of Brain-Derived Neurotrophic Factor on Neurological 
Function after Traumatic Brain Injury. In Journal of Alzheimer’s Disease (Vol. 65, 
Issue 4). https://doi.org/10.3233/JAD-180585 
Fischer, D. L., Auinger, P., Goudreau, J. L., Cole-Strauss, A., Kieburtz, K., Elm, J. J., 
Hacker, M. L., Charles, P. D., Lipton, J. W., Pickut, B. A., & Sortwell, C. E. (2020). 
238 
 
BDNF rs6265 Variant Alters Outcomes with Levodopa in Early-Stage Parkinson’s 
Disease. Neurotherapeutics, 17(4). https://doi.org/10.1007/s13311-020-00965-9 
Foltynie, T., Cheeran, B., Williams-Gray, C. H., Edwards, M. J., Schneider, S. A., 
Weinberger, D., Rothwell, J. C., Barker, R. A., & Bhatia, K. P. (2009). BDNF 
val66met influences time to onset of levodopa induced dyskinesia in Parkinson’s 
disease. Journal of Neurology, Neurosurgery and Psychiatry, 80(2). 
https://doi.org/10.1136/jnnp.2008.154294 
Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R., Dillon, 
S., Winfield, H., Culver, S., Trojanowski, J. Q., Eidelberg, D., & Fahn, S. (2001). 
Transplantation of Embryonic Dopamine Neurons for Severe Parkinson’s Disease. 
New England Journal of Medicine, 344(10). 
https://doi.org/10.1056/nejm200103083441002 
Friedman, W. J. (2000). Neurotrophins induce death of hippocampal neurons via the 
p75 receptor. Journal of Neuroscience, 20(17). https://doi.org/10.1523/jneurosci.20-
17-06340.2000 
Giovannoni, F., & Quintana, F. J. (2020). The Role of Astrocytes in CNS Inflammation. 
Trends in Immunology, 41(9), 805–819. https://doi.org/10.1016/j.it.2020.07.007 
Gombash, S. E., Manfredsson, F. P., Mandel, R. J., Collier, T. J., Fischer, D. L., Kemp, 
C. J., Kuhn, N. M., Wohlgenant, S. L., Fleming, S. M., & Sortwell, C. E. (2014). 
Neuroprotective potential of pleiotrophin overexpression in the striatonigral pathway 
compared with overexpression in both the striatonigral and nigrostriatal pathways. 
Gene Therapy, 21(7), 682–693. https://doi.org/10.1038/gt.2014.42 
Gonzalez, A., Moya-Alvarado, G., Gonzalez-Billaut, C., & Bronfman, F. C. (2016). 
Cellular and molecular mechanisms regulating neuronal growth by brain-derived 
neurotrophic factor. In Cytoskeleton (Vol. 73, Issue 10). 
https://doi.org/10.1002/cm.21312 
Gorzkowska, A., Cholewa, J., Cholewa, J., Wilk, A., & Klimkowicz-Mrowiec, A. (2021). 
Risk factors for apathy in Polish patients with parkinson’s disease. International 
Journal of Environmental Research and Public Health, 18(19). 
https://doi.org/10.3390/ijerph181910196 
Hagell, P., & Cenci, M. A. (2005). Dyskinesias and dopamine cell replacement in 
Parkinson’s disease: A clinical perspective. Brain Research Bulletin, 68(1–2). 
https://doi.org/10.1016/j.brainresbull.2004.10.013 
Hagell, P., Piccini, P., Björklund, A., Brundin, P., Rehncrona, S., Widner, H., Crabb, L., 
Pavese, N., Oertel, W. H., Quinn, N., Brooks, D. J., & Lindvall, O. (2002). 
Dyskinesias following neural transplantation in parkinson’s disease. Nature 
Neuroscience, 5(7). https://doi.org/10.1038/nn863 
Hauser, R. A., Auinger, P., & Oakes, D. (2009). Levodopa response in early Parkinson’s 
239 
 
disease. Movement Disorders, 24(16). https://doi.org/10.1002/mds.22759 
Jaworski, J., Spangler, S., Seeburg, D. P., Hoogenraad, C. C., & Sheng, M. (2005). 
Control of dendritic arborization by the phosphoinositide-3′-kinase- Akt-mammalian 
target of rapamycin pathway. Journal of Neuroscience, 25(49). 
https://doi.org/10.1523/JNEUROSCI.2270-05.2005 
Kailainathan, S., Piers, T. M., Yi, J. H., Choi, S., Fahey, M. S., Borger, E., Gunn-Moore, 
F. J., O’Neill, L., Lever, M., Whitcomb, D. J., Cho, K., & Allen, S. J. (2016). 
Activation of a synapse weakening pathway by human Val66 but not Met66 pro-
brain-derived neurotrophic factor (proBDNF). Pharmacological Research, 104. 
https://doi.org/10.1016/j.phrs.2015.12.008 
Kowiański, P., Lietzau, G., Czuba, E., Waśkow, M., Steliga, A., & Moryś, J. (2018). 
BDNF: A Key Factor with Multipotent Impact on Brain Signaling and Synaptic 
Plasticity. In Cellular and Molecular Neurobiology (Vol. 38, Issue 3). 
https://doi.org/10.1007/s10571-017-0510-4 
Krueger, F., Pardini, M., Huey, E. D., Raymont, V., Solomon, J., Lipsky, R. H., 
Hodgkinson, C. A., Goldman, D., & Grafman, J. (2011). The role of the met66 
brain-derived neurotrophic factor allele in the recovery of executive functioning after 
combat-related traumatic brain injury. Journal of Neuroscience, 31(2). 
https://doi.org/10.1523/JNEUROSCI.1399-10.2011 
Kumar, V., Zhang, M. X., Swank, M. W., Kunz, J., & Wu, G. Y. (2005). Regulation of 
dendritic morphogenesis by Ras-PI3K-Akt-mTOR and Ras-MAPK signaling 
pathways. Journal of Neuroscience, 25(49). 
https://doi.org/10.1523/JNEUROSCI.2284-05.2005 
Lane, E. L., Brundin, P., & Cenci, M. A. (2009). Amphetamine-induced abnormal 
movements occur independently of both transplant- and host-derived serotonin 
innervation following neural grafting in a rat model of Parkinson’s disease. 
Neurobiology of Disease, 35(1), 42–51. https://doi.org/10.1016/j.nbd.2009.03.014 
Lane, E. L., Winkler, C., Brundin, P., & Cenci, M. A. (2006). The impact of graft size on 
the development of dyskinesia following intrastriatal grafting of embryonic 
dopamine neurons in the rat. Neurobiology of Disease, 22(2). 
https://doi.org/10.1016/j.nbd.2005.11.011 
Lee, C. S., Cenci, M. A., Schulzer, M., & Björklund, A. (2000). Embryonic ventral 
mesencephalic grafts improve levodopa-induced dyskinesia in a rat model of 
Parkinson’s disease. Brain, 123(7). https://doi.org/10.1093/brain/123.7.1365 
Liu, Q., Lei, L., Yu, T., Jiang, T., & Kang, Y. (2018). Effect of Brain-Derived Neurotrophic 
Factor on the Neurogenesis and Osteogenesis in Bone Engineering. Tissue 
Engineering - Part A, 24(15–16). https://doi.org/10.1089/ten.tea.2017.0462 
Lohr, K. M., Masoud, S. T., Salahpour, A., & Miller, G. W. (2017). Membrane 
240 
 
transporters as mediators of synaptic dopamine dynamics: implications for disease. 
European Journal of Neuroscience, 45(1), 20–33. https://doi.org/10.1111/ejn.13357 
Mariani, S., Ventriglia, M., Simonelli, I., Bucossi, S., Siotto, M., & R, R. S. (2015). Meta-
Analysis Study on the Role of Bone-Derived Neurotrophic Factor Val66Met 
Polymorphism in Parkinson’s Disease. Rejuvenation Research, 18(1), 40–47. 
https://doi.org/10.1089/rej.2014.1612 
Maries, E., Kordower, J. H., Chu, Y., Collier, T. J., Sortwell, C. E., Olaru, E., Shannon, 
K., & Steece-Collier, K. (2006). Focal not widespread grafts induce novel dyskinetic 
behavior in parkinsonian rats. Neurobiology of Disease, 21(1). 
https://doi.org/10.1016/j.nbd.2005.07.002 
McGregor, C. E., & English, A. W. (2019). The role of BDNF in peripheral nerve 
regeneration: Activity-dependent treatments and Val66Met. In Frontiers in Cellular 
Neuroscience (Vol. 12). https://doi.org/10.3389/fncel.2018.00522 
McGregor, C. E., Irwin, A. M., & English, A. W. (2019). The Val66Met BDNF 
Polymorphism and Peripheral Nerve Injury: Enhanced Regeneration in Mouse Met-
Carriers Is Not Further Improved With Activity-Dependent Treatment. 
Neurorehabilitation and Neural Repair, 33(6). 
https://doi.org/10.1177/1545968319846131 
Meeker, R. B., & Williams, K. S. (2015). The p75 neurotrophin receptor: At the 
crossroad of neural repair and death. Neural Regeneration Research, 10(5). 
https://doi.org/10.4103/1673-5374.156967 
Mercado, N. M., Stancati, J. A., Sortwell, C. E., Mueller, R. L., Boezwinkle, S. A., Duffy, 
M. F., Fischer, D. L., Sandoval, I. M., Manfredsson, F. P., Collier, T. J., & Steece-
Collier, K. (2021). The BDNF Val66Met polymorphism (rs6265) enhances 
dopamine neuron graft efficacy and side-effect liability in rs6265 knock-in rats. 
Neurobiology of Disease, 148. https://doi.org/10.1016/j.nbd.2020.105175 
Mercado, N. M., Szarowicz, C., Stancati, J. A., Sortwell, C. E., Boezwinkle, S. A., 
Collier, T. J., Caulfield, M. E., & Steece-Collier, K. (2024). Advancing age and the 
rs6265 BDNF SNP are permissive to graft-induced dyskinesias in parkinsonian 
rats. Npj Parkinson’s Disease, 10(1), 163. https://doi.org/10.1038/s41531-024-
00771-6 
Nutt, J. G., & Wooten, G. F. (2005). Diagnosis and Initial Management of Parkinson’s 
Disease. New England Journal of Medicine, 353(10), 1021–1027. 
https://doi.org/10.1056/NEJMcp043908 
Olanow, C. W., Goetz, C. G., Kordower, J. H., Stoessl, A. J., Sossi, V., Brin, M. F., 
Shannon, K. M., Nauert, G. M., Perl, D. P., Godbold, J., & Freeman, T. B. (2003). A 
double-blind controlled trial of bilateral fetal nigral transplantation in Parkinson’s 
disease. Annals of Neurology, 54(3). https://doi.org/10.1002/ana.10720 
241 
 
Olanow, C. W., Kordower, J. H., Lang, A. E., & Obeso, J. A. (2009). Dopaminergic 
transplantation for Parkinson’s disease: Current status and future prospects. In 
Annals of Neurology (Vol. 66, Issue 5). https://doi.org/10.1002/ana.21778 
Park, H., & Poo, M. M. (2013). Neurotrophin regulation of neural circuit development 
and function. In Nature Reviews Neuroscience (Vol. 14, Issue 1). 
https://doi.org/10.1038/nrn3379 
Petryshen, T. L., Sabeti, P. C., Aldinger, K. A., Fry, B., Fan, J. B., Schaffner, S. F., 
Waggoner, S. G., Tahl, A. R., & Sklar, P. (2010). Population genetic study of the 
brain-derived neurotrophic factor (BDNF) gene. Molecular Psychiatry, 15(8). 
https://doi.org/10.1038/mp.2009.24 
Piccini, P., Brooks, D. J., Björklund, A., Gunn, R. N., Grasby, P. M., Rimoldi, O., 
Brundin, P., Hagell, P., Rehncrona, S., Widner, H., & Lindvall, O. (1999). Dopamine 
release from nigral transplants visualized in vivo in a Parkinson’s patient. Nature 
Neuroscience, 2(12), 1137–1140. https://doi.org/10.1038/16060 
Poewe, W., Antonini, A., Zijlmans, J. C., Burkhard, P. R., & Vingerhoets, F. (2010). 
Levodopa in the treatment of Parkinson’s disease: an old drug still going strong. 
Clinical Interventions in Aging, 5, 229–238. https://doi.org/10.2147/cia.s6456 
Politis, M. (2010a). Dyskinesias after neural transplantation in Parkinson’s disease: 
what do we know and what is next? BMC Medicine, 8(1), 80. 
https://doi.org/10.1186/1741-7015-8-80 
Politis, M. (2010b). Dyskinesias after neural transplantation in Parkinson’s disease: 
What do we know and what is next? In BMC Medicine (Vol. 8). 
https://doi.org/10.1186/1741-7015-8-80 
Politis, M., Oertel, W. H., Wu, K., Quinn, N. P., Pogarell, O., Brooks, D. J., Bjorklund, A., 
Lindvall, O., & Piccini, P. (2011). Graft‐induced dyskinesias in Parkinson’s disease: 
High striatal serotonin/dopamine transporter ratio. Movement Disorders, 26(11), 
1997–2003. https://doi.org/10.1002/mds.23743 
Qin, L., Jing, D., Parauda, S., Carmel, J., Ratan, R. R., Lee, F. S., & Cho, S. (2014). An 
adaptive role for BDNF Val66Met polymorphism in motor recovery in chronic 
stroke. Journal of Neuroscience, 34(7). https://doi.org/10.1523/JNEUROSCI.4140-
13.2014 
Reichardt, L. F. (2006). Neurotrophin-regulated signalling pathways. In Philosophical 
Transactions of the Royal Society B: Biological Sciences (Vol. 361, Issue 1473). 
https://doi.org/10.1098/rstb.2006.1894 
Sasi, M., Vignoli, B., Canossa, M., & Blum, R. (2017). Neurobiology of local and 
intercellular BDNF signaling. In Pflugers Archiv : European journal of physiology 
(Vol. 469, Issues 5–6). https://doi.org/10.1007/s00424-017-1964-4 
242 
 
Shen, T., You, Y., Joseph, C., Mirzaei, M., Klistorner, A., Graham, S. L., & Gupta, V. 
(2018). BDNF polymorphism: A review of its diagnostic and clinical relevance in 
neurodegenerative disorders. In Aging and Disease (Vol. 9, Issue 3). 
https://doi.org/10.14336/AD.2017.0717 
Shin, E., Garcia, J., Winkler, C., Björklund, A., & Carta, M. (2012). Serotonergic and 
dopaminergic mechanisms in graft-induced dyskinesia in a rat model of Parkinson’s 
disease. Neurobiology of Disease, 47(3), 393–406. 
https://doi.org/10.1016/j.nbd.2012.03.038 
Smith, G. A., Heuer, A., Klein, A., Vinh, N.-N., Dunnett, S. B., & Lane, E. L. (2012). 
Amphetamine-Induced Dyskinesia in the Transplanted Hemi-Parkinsonian Mouse. 
Journal of Parkinson’s Disease, 2(2), 107–113. https://doi.org/10.3233/JPD-2012-
12102 
Soderstrom, K. E., Meredith, G., Freeman, T. B., McGuire, S. O., Collier, T. J., Sortwell, 
C. E., Wu, Q., & Steece-Collier, K. (2008). The synaptic impact of the host immune 
response in a parkinsonian allograft rat model: Influence on graft-derived aberrant 
behaviors. Neurobiology of Disease, 32(2). 
https://doi.org/10.1016/j.nbd.2008.06.018 
Soderstrom, K. E., O’Malley, J. A., Levine, N. D., Sortwell, C. E., Collier, T. J., & Steece-
Collier, K. (2010). Impact of dendritic spine preservation in medium spiny neurons 
on dopamine graft efficacy and the expression of dyskinesias in parkinsonian rats. 
European Journal of Neuroscience, 31(3). https://doi.org/10.1111/j.1460-
9568.2010.07077.x 
Sortwell, C. E., Hacker, M. L., Fischer, D. L., Konrad, P. E., Davis, T. L., Neimat, J. S., 
Wang, L., Song, Y., Mattingly, Z. R., Cole-Strauss, A., Lipton, J. W., & Charles, P. 
D. (2021). BDNF rs6265 Genotype Influences Outcomes of Pharmacotherapy and 
Subthalamic Nucleus Deep Brain Stimulation in Early-Stage Parkinson’s Disease. 
Neuromodulation. https://doi.org/10.1111/ner.13504 
Steece-Collier, K., & Collier, T. J. (2016). Cell Therapy in Parkinson’s Disease (pp. 873–
888). https://doi.org/10.1016/B978-0-12-802206-1.00044-1 
Steece-Collier, K., Collier, T. J., Sladek, C. D., & Sladek, J. R. (1990). Chronic levodopa 
impairs morphological development of grafted embryonic dopamine neurons. 
Experimental Neurology, 110(2), 201–208. https://doi.org/10.1016/0014-
4886(90)90031-M 
Steece-Collier, K., Rademacher, D. J., & Soderstrom, K. E. (2012). Anatomy of graft-
induced dyskinesias: Circuit remodeling in the parkinsonian striatum. In Basal 
Ganglia (Vol. 2, Issue 1). https://doi.org/10.1016/j.baga.2012.01.002 
Stoker, T. B., & Barker, R. A. (2020). Recent developments in the treatment of 
Parkinson’s Disease. F1000Research, 9, 862. 
https://doi.org/10.12688/f1000research.25634.1 
243 
 
Stoker, T. B., Blair, N. F., & Barker, R. A. (2017). Neural grafting for Parkinson’s 
disease: Challenges and prospects. In Neural Regeneration Research (Vol. 12, 
Issue 3). https://doi.org/10.4103/1673-5374.202935 
Straccia, G., Colucci, F., Eleopra, R., & Cilia, R. (2022). Precision Medicine in 
Parkinson’s Disease: From Genetic Risk Signals to Personalized Therapy. Brain 
Sciences, 12(10), 1308. https://doi.org/10.3390/brainsci12101308 
Suelves, N., Miguez, A., López-Benito, S., Barriga, G. G. D., Giralt, A., Alvarez-Periel, 
E., Arévalo, J. C., Alberch, J., Ginés, S., & Brito, V. (2019). Early Downregulation of 
p75 NTR by Genetic and Pharmacological Approaches Delays the Onset of Motor 
Deficits and Striatal Dysfunction in Huntington’s Disease Mice. Molecular 
Neurobiology, 56(2). https://doi.org/10.1007/s12035-018-1126-5 
Szarowicz, C. A., Steece-Collier, K., & Caulfield, M. E. (2022). New Frontiers in 
Neurodegeneration and Regeneration Associated with Brain-Derived  Neurotrophic 
Factor and the rs6265 Single Nucleotide Polymorphism. International Journal of 
Molecular Sciences, 23(14). https://doi.org/10.3390/ijms23148011 
Teng, H. K., Teng, K. K., Lee, R., Wright, S., Tevar, S., Almeida, R. D., Kermani, P., 
Torkin, R., Chen, Z. Y., Lee, F. S., Kraemer, R. T., Nykjaer, A., & Hempstead, B. L. 
(2005). ProBDNF induces neuronal apoptosis via activation of a receptor complex 
of p75NTR and sortilin. Journal of Neuroscience, 25(22). 
https://doi.org/10.1523/JNEUROSCI.5123-04.2005 
Tremblay, M.-È., Stevens, B., Sierra, A., Wake, H., Bessis, A., & Nimmerjahn, A. 
(2011). The Role of Microglia in the Healthy Brain: Figure 1. The Journal of 
Neuroscience, 31(45), 16064–16069. https://doi.org/10.1523/JNEUROSCI.4158-
11.2011 
Tsai, S. J. (2018). Critical issues in BDNF Val66met genetic studies of neuropsychiatric 
disorders. In Frontiers in Molecular Neuroscience (Vol. 11). 
https://doi.org/10.3389/fnmol.2018.00156 
Urbina-Varela, R., Soto-Espinoza, M. I., Vargas, R., Quiñones, L., & del Campo, A. 
(2020). Influence of BDNF genetic polymorphisms in the pathophysiology of aging-
related diseases. In Aging and Disease (Vol. 11, Issue 6). 
https://doi.org/10.14336/AD.2020.0310 
Voineskos, A. N., Lerch, J. P., Felsky, D., Shaikh, S., Rajji, T. K., Miranda, D., Lobaugh, 
N. J., Mulsant, B. H., Pollock, B. G., & Kennedy, J. L. (2011). The brain-derived 
neurotrophic factor Val66Met polymorphism and prediction of neural risk for 
alzheimer disease. Archives of General Psychiatry, 68(2). 
https://doi.org/10.1001/archgenpsychiatry.2010.194 
Woo, N. H., Teng, H. K., Siao, C. J., Chiaruttini, C., Pang, P. T., Milner, T. A., 
Hempstead, B. L., & Lu, B. (2005). Activation of p75NTR by proBDNF facilitates 
hippocampal long-term depression. Nature Neuroscience, 8(8). 
244 
 
https://doi.org/10.1038/nn1510 
Yang, W., Hamilton, J. L., Kopil, C., Beck, J. C., Tanner, C. M., Albin, R. L., Ray Dorsey, 
E., Dahodwala, N., Cintina, I., Hogan, P., & Thompson, T. (2020). Current and 
projected future economic burden of Parkinson’s disease in the U.S. Npj 
Parkinson’s Disease, 6(1), 15. https://doi.org/10.1038/s41531-020-0117-1 
Yurek, D. M. (1998). Optimal effectiveness of BDNF for fetal nigral transplants coincides 
with the ontogenic appearance of BDNF in the striatum. Journal of Neuroscience, 
18(15). https://doi.org/10.1523/jneurosci.18-15-06040.1998 
Yurek, D. M., Lu, W., Hipkens, S., & Wiegand, S. J. (1996). BDNF enhances the 
functional reinnervation of the striatum by grafted fetal dopamine neurons. 
Experimental Neurology, 137(1). https://doi.org/10.1006/exnr.1996.0011 
Zagrebelsky, M., Holz, A., Dechant, G., Barde, Y.-A., Bonhoeffer, T., & Korte, M. (2005). 
The p75 Neurotrophin Receptor Negatively Modulates Dendrite Complexity and 
Spine Density in Hippocampal Neurons. The Journal of Neuroscience, 25(43), 
9989–9999. https://doi.org/10.1523/JNEUROSCI.2492-05.2005 
Zagrebelsky, M., Tacke, C., & Korte, M. (2020). BDNF signaling during the lifetime of 
dendritic spines. In Cell and Tissue Research (Vol. 382, Issue 1). 
https://doi.org/10.1007/s00441-020-03226-5 
Zhu, J., & Reith, M. (2008). Role of the Dopamine Transporter in the Action of 
Psychostimulants, Nicotine, and Other Drugs of Abuse. CNS & Neurological 
Disorders - Drug Targets, 7(5), 393–409. 
https://doi.org/10.2174/187152708786927877 
Zivadinov, R., Weinstock-Guttman, B., Benedict, R., Tamaño-Blanco, M., Hussein, S., 
Abdelrahman, N., Durfee, J., & Ramanathan, M. (2007). Preservation of gray 
matter volume in multiple sclerosis patients with the Met allele of the rs6265 
(Val66Met) SNP of brain-derived neurotrophic factor. Human Molecular Genetics, 
16(22). https://doi.org/10.1093/hmg/ddm189 
Zuccato, C., Marullo, M., Conforti, P., MacDonald, M. E., Tartari, M., & Cattaneo, E. 
(2008). Systematic assessment of BDNF and its receptor levels in human cortices 
affected by Huntington’s disease. Brain Pathology, 18(2). 
https://doi.org/10.1111/j.1750-3639.2007.00111.x 
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CHAPTER 4: EXOGENOUS BDNF TREATMENT EXACERBATES GRAFT-INDUCED 
DYSKINESIA IN HOMOZYGOUS rs6265 (MET/MET) PARKINSONIAN RATS 
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ABSTRACT 
Dopamine (DA) neuron transplantation remains a promising therapeutic 
approach to restore lost DA in the parkinsonian striatum; however, a significant side 
effect of is graft-induced dyskinesia (GID). While several theories of GID have been 
posited, its underlying mechanisms remain unclear and controversial. Our 
investigations, aimed at understanding potential genetic contributions to GID, have 
focused on a common single nucleotide polymorphism (SNP), rs6265, found in the gene 
for brain-derived neurotrophic factor (BDNF), which results in decreased BDNF release. 
Using a CRISPR knock-in rat model, we first reported that parkinsonian rats 
homozygous for rs6265 (aka Met/Met) engrafted with wild-type (WT) primary DA 
neurons uniquely developed GID compared to their WT counterparts. Because rs6265 
causes decreased BDNF release, we hypothesized that “replenishing” BDNF would 
ameliorate GID behavior. To evaluate this, exogenous intracerebral BDNF was infused 
into parkinsonian Met/Met rats engrafted with WT DA neurons using osmotic 
minipumps. Unexpectedly, BDNF infusion exacerbated GID in grafted Met/Met animals 
compared to vehicle-infused controls, and evidence suggests that dysregulated 
DA/glutamate co-transmission and/or excess DA release contributes to GID expression. 
While our findings are supported by clinical data, they reveal novel mechanisms that are 
related to an individual’s genetic profile that may be important to consider as cell 
transplantation therapies advance in ongoing clinical trials.  
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INTRODUCTION 
PD is a complex, heterogeneous neurodegenerative disorder that affects over 
9.3 million people worldwide (Espay et al., 2017; Maserejian et al., 2020; Schalkamp et 
al., 2022). While pharmacological interventions traditionally used to treat PD (e.g., 
levodopa) alleviate a majority of motor symptoms, there is significant heterogeneity in 
clinical responsiveness (Fischer et al., 2018, 2020; Hauser et al., 2009; Sortwell et al., 
2022), and most individuals eventually experience waning efficacy and side effect 
development (e.g., levodopa-induced dyskinesia (LID)) as their disease progresses 
(Hauser et al., 2009). Based on the unmet need in clinical management of PD, 
additional/alternative therapies continue to be investigated (e.g., (Barker et al., 2024)). A 
promising regenerative medicine alternative involves DA neuron transplantation aimed 
at restoring DA terminals within the striatum to replace those that die off in PD. The 
transplantation method that has had most clinical success is grafting primary embryonic 
ventral mesencephalic (eVM) DA neurons into the caudate/putamen, demonstrating 
clear efficacy in a subpopulation of recipients with PD (Olanow et al., 2009; Steece-
Collier et al., 2012; Stoker et al., 2017). Despite distinct, yet heterogenous, success, 
clinical trials have also demonstrated heterogeneity in side effect development. 
Specifically, a subpopulation of patients exhibited a aberrant side effect known as GID in 
response to receiving DA neuron grafts (Freed et al., 2001; Hagell et al., 2002; Olanow 
et al., 2003). It was the occurrence of GID behavior that led to a worldwide moratorium 
on all clinical grafting trials in 2003 (Barker et al., 2019; Collier et al., 2019; Parmar et 
al., 2020; Stoker & Barker, 2020). After decades of rigorous preclinical research and 
retrospective analyses of clinical trials, several clinical grafting trials are planned or 
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ongoing (example clinical trial identifier examples NCT04802733, NCT01898390, 
NCT03309514, NCT03119636, NCT04146519), yet the underlying mechanism of GID 
behavior remains unclear and controversial.  
GID are abnormal involuntary movements that, to date, have been observed to 
manifest only in individuals who received primary DA grafts (for review (Steece-Collier 
et al., 2012)). Several proposed underlying mechanisms of GID have been posited. 
These include, but are not limited to, uneven DA reinnervation/excess DA release, 
donor cell source and preparation, presence of non-DA cells (e.g., serotonin neurons), 
age of recipient, pre-graft levodopa history, the immune response, and 
abnormal/asymmetric synaptic connections (Ma et al., 2002; Mercado et al., 2021, 
2024; Pagano et al., 2018; Soderstrom et al., 2008). Previously, our laboratory 
demonstrated that there was a significant association between GID behavior and the 
presence of excitatory asymmetric synaptic connections made by and onto grafted DA 
neurons in parkinsonian rats (Mercado et al., 2021; Soderstrom et al., 2008). Normally, 
mature DA neurons make en passant, symmetric appositions onto the dendritic spines 
of striatal medium spiny neurons (MSNs) (Gerfen & Surmeier, 2011; W. Shen et al., 
2016). However, the grafted neurons in the GID-expressing parkinsonian rats have 
been reported to make atypical asymmetric synapses directly onto the dendrite or onto 
the cell soma (Soderstrom et al., 2008). These atypical synaptic profiles have also been 
observed in PD patients engrafted with embryonic DA neurons (Kordower et al., 1996), 
suggestive of impaired and/or delayed maturation in which a DA-glutamate co-
transmission phenotype is common (El Mestikawy et al., 2011). 
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Given the necessity of BDNF for midbrain DA neuron maturation and synapse 
formation (Adachi et al., 2005; Baquet et al., 2005; Hyman et al., 1991; Yurek, 1998; 
Yurek et al., 1996), we began investigating the role of BDNF in GID behavior. We 
identified a common SNP, rs6265, found within the gene for BDNF which results in a 
decrease in activity-dependent BDNF release (Egan et al., 2003). The rs6265 SNP, also 
referred to as Val66Met, involves a valine to methionine substitution at codon 66 and 
occurs in approximately 20% of the general population (Petryshen et al., 2010; Tsai, 
2018). Both the heterozygous (Val/Met) and homozygous (Met/Met) genotype result in a 
significant dose-dependent decrease of activity-dependent release of BDNF by 
disrupting the packaging of BDNF into secretory vesicles (for review (Egan et al., 2003; 
Mercado et al., 2021)). Notably, rs6265 is not associated with PD incidence (Egan et al., 
2003; Mariani et al., 2015) but has been shown to reduce therapeutic efficacy of oral 
levodopa in PD patients (Fischer et al., 2020). Due to the considerable prevalence of 
rs6265 in the general population and the critical role of BDNF in promoting dendrite 
spine growth, formation of synapses in DA neurons, and maturation of DA neurons, I 
hypothesized that this genetic risk factor underlies the variability (i.e., GID behavior) in 
clinical response to DA neuron grafting in individuals with PD. We theorized that the 
decrease in BDNF release in the extracellular environment caused by the homozygous 
SNP (Met/Met) prevents proper graft maturation and that “replacing” the deficient BDNF 
would allow for graft maturation and proper integration into the host, ultimately 
ameliorating GID.  
Using a CRIPSR knock-in parkinsonian rat model of the homozygous rs6265 
SNP (Met/Met) developed by our colleagues Dr. Caryl Sortwell and Dr. Timothy Collier, 
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we recently demonstrated that only Met/Met rats engrafted with WT DA neurons 
uniquely exhibited induction of GID behavior compared to their WT counterparts 
engrafted also with WT DA neurons ((Mercado et al., 2021); see also Chapter 3)). In an 
attempt to mitigate GID behavior in an environment of decreased extracellular BDNF 
(i.e., rs6265 Met/Met), in this current study, we infused exogenous mature BDNF into 
the striatum of Met/Met host rats engrafted with WT DA neurons. We achieved 
exogenous BDNF administration with a subcutaneous osmotic minipump attached to a 
cannula that was placed directly above the grafted DA neurons in the parkinsonian 
striatum.  
We report here that, contrary to our hypothesis, exogenous BDNF infusion into 
DA-grafted homozygous Met/Met parkinsonian rats increased aberrant GID behavior 
compared to DA-grafted vehicle-infused controls. We also provide evidence that GID in 
these animals are correlated with indices of excess DA release demonstrated by an 
increase in DA transporter (DAT) expression and contralateral amphetamine-mediated 
rotational behavior. Importantly, these results corroborate findings in grafted PD patients 
where excess DA release was also found to be associated with GID (Piccini et al., 1999; 
Politis, 2010; Politis et al., 2011). Moreover, we provide evidence suggestive of an 
entirely novel mechanism associated with excess graft-derived DA signaling—a 
phenomenon known as vesicular synergy. Vesicular synergy, in this context, posits that 
the presence of vesicular glutamate transporter 2 (VGLUT2) on a vesicular monoamine 
transporter 2 (VMAT2)-positive synaptic vesicle within a DA neuron promotes increased 
DA loading into vesicles, resulting in excess DA release (El Mestikawy et al., 2011; 
Hnasko et al., 2010; H. Shen et al., 2021). Our supporting evidence illustrates high-
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resolution confocal imaging of (presumed) co-localized VMAT2 and VGLUT2 protein in 
striatal DA-grafted neurites, which is remarkably correlated with GID behavior. 
GIDs are a complex behavior in which my cumulative data suggest that several 
mechanisms appear to be necessary, but possibly not sufficient by themselves, to 
induce GID. Collectively, our research suggests that atypical DA/glutamate co-
transmission and/or excess DA release are promising factors underlying GID induction, 
influenced by genetic characteristics of the host and donor. However, additional 
research is necessary to directly confirm that excess DA release underlies GID and to 
fully understand GID pathogenesis. Our findings reinforce the notion that a personalized 
medicine approach will be imperative to optimize clinical outcomes of cell 
transplantation for individuals with PD. Once we understand the mechanisms of GID, 
we may be able to provide a solution to prevent its occurrence in this host/donor 
combination. 
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Experimental Animals 
METHODS 
Male Sprague-Dawley rats homozygous for rs6265 (Met/Met) (6-7 months at 
lesioning; 11-12 months at sacrifice) were obtained from our in-house colony derived 
from CRISPR knock-in rats carrying the valine to methionine polymorphism in the rat 
BDNF gene (Val68Met, Val/Met). Using CRISPR/Cas-mediated homologous 
recombination, these rats were generated by Cyagen Biosciences (Santa Clara, CA). In 
this study, only homozygous Met/Met rats were used based on findings from our 
previous experiments which demonstrated that Met/Met host rats engrafted with wild-
type (WT) DA neurons uniquely developed GID behavior (Mercado et al., 2021). Of 
note, the rat Val68Met SNP is equivalent to the human Val66Met SNP because rats 
have two additional threonine amino acids at positions 57 and 58. The BDNF gene in 
rats has approximately a 96.8% sequence homology with the human BDNF gene 
(BLAST queries: P23560 and P23363). The Michigan State University Institutional 
Animal Care and Use Committee approved all experimental procedures.  
Two rats were removed from experimental evaluation due to spontaneous death 
during or following neural transplantation surgery. Other animals (N=18) were excluded 
a priori (i.e., prior to grafting) because they failed to develop sufficient LID, as well as to 
keep the N of each group to approximately 10. A small number of (N=4) were excluded 
from postmortem analyses due to having too few surviving cells in the graft (<100) or 
misplaced grafts (e.g., cortically placed grafts). Final experimental cohorts were N=9 
BDNF (non-grafted), N=9 PBS (non-grafted), N=9 BDNF-infused (grafted), N=9 PBS-
infused (grafted).  
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Experimental Timeline 
Illustrated in Figure 4.1, rats were first unilaterally rendered parkinsonian via a 
stereotaxic injection of 6-hydroxydopamine (6-OHDA) in the SN and medial forebrain 
bundle (MFB). Lesion status was then confirmed two weeks later with amphetamine-
mediated rotational behavior as described in Chapter 3. Two weeks following, rats were 
primed with daily levodopa to induce significant, stable LID, which was our primary 
behavioral readout of graft function. After four weeks of priming with levodopa, rats 
received intrastriatal grafts of embryonic ventral mesencephalic (VM) DA neurons from 
wild-type (WT; Val/Val) rats or no grafts as the control. Immediately following grafting 
surgery, subcutaneous osmotic minipumps containing either mature BDNF (R&D 
Systems, Inc. Bio-Techne Corporation catalog # 11166-BD) or vehicle-control 
phosphate-buffered saline (PBS) were implanted under the skin. The minipumps were 
attached to a cannula that was placed directly above the grafted cells. Following grafting 
surgery, levodopa was withdrawn for one week and then reinitiated for the remainder of 
the study. Parkinsonian rats were evaluated for amelioration of LID behavior 10 weeks 
following engraftment. At five and 10 weeks post-engraftment, amphetamine-induced 
rotational behavior was assessed as a secondary measure of graft function. Lastly, as 
an indicator of graft dysfunction, GID were evaluated at five and 10 weeks following LID 
assessment.  
Nigrostriatal Lesioning with 6-OHDA 
Anesthetized (2% isoflurane, Sigma St. Louis, MO, USA) rats, after being placed 
in a stereotaxic frame, received two L of 6-OHDA (flow rate of 0.5 L/minute) to the 
SNpc (4.8 mm posterior, 2.0 mm lateral, 8.0 ventral relative to bregma) and the MFB 
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(4.3 mm posterior, 1.6 mm lateral, 8.4 mm ventral relative to bregma). After surgery 
completion, rats received intraperitoneal (i.p.) injections of 5 mg/kg carprofen (Rimadyl) 
as an analgesic. For histological postmortem confirmation of successful nigral lesions, 
medial terminal nucleus (MTN) DA cell enumeration methods were used (Gombash et 
al., 2014).  
Figure 4.1: Experimental Design and Timeline. 
(a) Experimental timeline of surgeries, behavioral evaluation, and drug administration. (b) 
Experimental schematic illustrating cell transplantation. E14 ventral mesencephalic tissue 
from WT (Val/Val) Sprague-Dawley rats was dissected and transplanted into homozygous 
rs6265  Met/Met  host  rats.  (c)  Following  cell  transplantation,  subcutaneous  osmotic 
minipumps  containing either mature  BDNF or PBS  were  implanted  under  the  skin  and 
attached  to  cannulas  that  were  placed  above  the  grafted  cells.  (d)  Table  including 
subsequent  treatment  of  experimental  groups  and  final  group  sizes. Abbreviations:  6-
OHDA  =  6-hydroxydopamine,  amph-induced  =  amphetamine-induced,  LD  =  levodopa, 
VM = ventral mesencephalic, GID = graft-induced dyskinesia.  
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Amphetamine-Induced Rotational Behavior 
Amphetamine-mediated rotational behavior was utilized as a method to assess 
both lesion status following 6-OHDA surgeries and graft function and dysfunction (i.e., 
GID described below) following transplantation surgeries because it is a reliable 
measure of nigrostriatal DA depletion and graft-derived DA release (Collier et al., 1999, 
2015; Dunnett & Torres, 2011; Soderstrom et al., 2008). Two weeks after lesion surgery, 
amphetamine-mediated rotational behavior was first assessed to confirm lesion status. 
Amphetamine sulfate (2.5 mg/kg) was injected (i.p.) into each subject. Rotational 
behavior was then monitored for a total of 90 minutes using the automated Rotameter 
System (TSE-Systems, Chesterfield, MO, USA). Rats that rotated 5 ipsilateral turns per 
minute or more over the 90 minute time course were included for the continuation of the 
study. Amphetamine rotations were also quantified manually at one-minute intervals in 
the rat’s home cage at five and 10 weeks post-engraftment as a secondary 
measurement of graft function. 
Levodopa Administration and LID ratings 
Four weeks after lesion surgeries, rats were primed with daily (M-F) levodopa (12 
mg/kg, 1:1 levodopa/benserazide, subcutaneous (s.c.) administration) for a total of four 
weeks before grafting surgeries. Levodopa was withdrawn one week following 
transplantation surgeries to prevent any potential toxic interactions between the grafted 
cells and levodopa (Collier et al., 2015; Steece-Collier et al., 1990). Levodopa was 
introduced again after the one-week hiatus and continued daily throughout the 
remainder of the experiment.  
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The well-established rat model of LID was employed as an indicator of graft 
function as this behavioral side effect can be ameliorated by DA neurons grafts in 
parkinsonian rats (Lane et al., 2006; Lee et al., 2000; Maries et al., 2006; Mercado et 
al., 2021; Soderstrom et al., 2008, 2010) and individuals with PD (Hagell & Cenci, 
2005). LID were evaluated on pre-graft days 1, 7, 14, and 21, and at five post-graft 
timepoints including week 2, 4, 6, 8, and 10. The rating scale employed for LID severity 
was developed by our laboratory based on specific criteria comparable to attributes of 
dyskinesia (see (Caulfield et al., 2021; Maries et al., 2006) for details). A blinded 
investigator evaluated LID behavior at one-minute intervals 20, 70, 120, 170, and 220 
minutes following levodopa injection as previously detailed (Mercado et al., 2021). A 
total LID severity score was calculated for each animal at each rating session as 
previously detailed in (Mercado et al., 2021).  
Preparation of Donor Tissue and Cell Transplantation 
Following levodopa priming, rats were assigned to either DA-grafted or non-
grafted BDNF- or PBS-infused groups based on their mean pre-grafted LID severity 
scores, ensuring that pre-graft LID mean scores were statistically similar between all 
four treatment groups. Rats in the DA-grafted groups received an intrastriatal 
transplantation of 200,000 VM cells from embryonic day 14 (E14) timed-pregnant WT 
donors. Prior to surgery, the VM tissue was collected in cold calcium-magnesium free 
(CMF) buffer; cells were then dissociated as previously detailed in (Collier et al., 2015; 
Mercado et al., 2021). Briefly, the dissected tissue was incubated for 10  minutes at 
37°C in CMF buffer containing 0.125% trypsin. Cells were then triturated with 0.005% 
DNase using a 2.0 mm tip Pasteur pipette and further triturated with a sterile 3cc, 22-
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gauge syringe. The resulting cell suspension was layered onto sterile fetal bovine serum 
(FBS) and centrifuged at 1,000 rpm for 10 minutes at 4°C, then resuspended in 1.0 mL 
Neurobasal medium (Gibco, Thermo Fisher Scientific, Waltham, MA, USA). Cell number 
and viability were evaluated with the trypan blue exclusion test, and the final cell 
suspension concentration was adjusted to 33,333 cells/L. Cells were kept on ice during 
surgery and transplanted within five hours of preparation. The cells were injected at a 
single rostral-caudal striatal site (0.2 mm anterior, 3.0 mm lateral to bregma), with 
injections at three dorsal-ventral coordinates corresponding to 5.7, 5.0, and 4.3 mm 
ventral to the skull base (Collier et al., 2015; Mercado et al., 2021). At each coordinate, 
2 µL (injected at 0.5 µL/min) of the VM cell suspension was delivered, for a total of 6 µL 
per rat. Rats in the non-grafted group did not receive any cell suspension based on the 
logistics of transplanting cells within the 5-hour post-preparation period restraint, along 
with the necessity of implanting cannulas and minipumps. 
Intrastriatal BDNF Infusions 
In the same grafting surgical session described above, an infusion cannula was 
stereotaxically inserted to 0.3 mm dorsal of the transplanted cells (per Yurek et al., 
1996/98). The cannula (Alzet® Brain Infusion Kit 2) was attached with tubing to a 
primed 28-day Alzet® minipump (model 2004; flow rate of 0.25 µL/hour) that was then 
implanted into the subdermal intrascapular space. Prior to implantation, minipumps 
were primed for 48 hours in sterile 0.9% saline before being filled with either sterile PBS 
or 1.25 µg/µL of recombinant human BDNF (R&D Systems, Inc. Bio-Techne Corporation 
catalog # 11166-BD) dissolved in sterile PBS, similar to what has been previously 
described in (Yurek, 1998; Yurek et al., 1996). Cannulas were then permanently fixed to 
258 
 
the skull using dental cement and anchor screws that were placed into the skull earlier 
in the surgery. Minipumps were surgically removed in a sterile environment following 
completion of BDNF or PBS infusion for a total infusion exposure of four weeks. 
Effective delivery of recombinant BDNF from osmotic minipumps into a rat model has 
been demonstrated successfully (Yurek, 1998; Yurek et al., 1996) and (Altar et al., 
1994).  
Graft-induced Dyskinesia (GID) Ratings 
Amphetamine was utilized to assess graft-induced dyskinesia (GID); rats 
received a single 2 mg/kg i.p. dose of amphetamine sulfate. This method of 
amphetamine-mediated GID behavior is based on evidence that DA-grafted, but not 
sham-grafted, animals demonstrate dyskinetic behavior in response to low-dose 
amphetamine administration (Lane et al., 2009; Shin et al., 2012; Smith et al., 2012). 
This behavior, which appears phenotypically similar to LID, was rated by a blinded 
investigator using the same method and rating scale as was described for LID. GID 
were evaluated one week following minipump removal (i.e., week five post-engraftment) 
to prevent any acute effects of BDNF infusion on GID behavior. At 10 weeks post-
engraftment, GID were evaluated again; this time 24 hours prior to sacrifice. 
Necropsy 
Rats were sacrificed as detailed in Mercado et al., 2021. Briefly, 
phenytoin/pentobarbital euthanasia solution (250 mg/kg; i.p., VetOne, Boise, ID, USA) 
was used to deeply anesthetize the rats. Rats then underwent intracardiac perfusions of 
room temperature heparinized 0.9% saline followed by cold 4% paraformaldehyde. After 
perfusion was completed, brains were removed and placed in 4% paraformaldehyde for 
259 
 
a total of 24 hours at 4°C. Brains were then submersed in 30% sucrose at 4°C until 
sectioning. For sectioning, brains were cut coronoally using a sliding microtome at a 
thickness of 40 µm. Brain sections were stored in cryoprotectant solution at -20°C.  
Histology 
TH graft Cell Number and Volume 
Briefly, tissue sections were rinsed in Tris-buffered saline containing 0.3% Triton-
X (TBS-Tx). Sections were incubated in 0.3% hydrogen peroxide, then blocked in 10% 
normal goat serum (NGS) for 90 minutes. For primary antibody incubation, tissue 
sections were incubated overnight at room temperature with rabbit anti-TH (see Table 
4.1). Following primary incubation, sections were incubated in biotinylated goat anti-
rabbit secondary antibody (Table 4.1), then developed using avidin/biotin enzyme 
complex.  
A blinded investigator used the Stereo Investigator® Optical Fractionator method 
(MBF Bioscience, Williston, VT, USA) to quantify TH-positive (TH+) cells within the 
grafted striatum. The 20x objective (numerical aperture 0.75) was used to count cells on 
a Nikon Eclipse 80i microscope with a 200 µm x 200 µm counting frame. The optical 
dissector height was set to 20 µm, and the guard zone was set to 2.0 µm. This method 
was completed in 4-12 serial (1:6) TH+ section in which the number of sections varied 
depending on the rostral-caudal extent of the graft.  
Using the same tissue sections for total enumeration, a blinded investigator 
employed the Stereo Investigator® Cavalieri Estimator to quantify graft volume. 
Contours were traced around the central region of the graft, and then a grid with random 
260 
 
sampling sites (50-µm spacing) was superimposed over the contours. Collected data 
were expressed as total estimated graft volume (mm3). 
Neurite Outgrowth 
Two-dimensional (2D) images fluorescently labeled for TH, at 4x magnification, 
were saved as .tiff files and imported into Fiji image processing package. Eight total 
regions of interest (ROIs) were created measuring 600 µm2. Four ROIs were first placed 
around the edge of the perimeter of the grafted TH+ cells. This was considered the 
proximal region, including proximal dorsolateral, dorsomedial, ventrolateral, and 
ventromedial. The ROIs were placed in this way around the graft in order to avoid the 
cannula injection site located immediately dorsal from the graft. An additional four ROIs 
were placed 625 µm from the edge of the grafted TH+ cell bodies. This was considered 
the distal regions, including distal dorsolateral, dorsomedial, ventrolateral, and 
ventromedial. ROIs were then added into the ROI manager, converted to 8-bit, and 
inverted from the original fluorescent color. The background of each image was 
removed and the contrast was enhanced for optimal analysis. Each image is then made 
into a binary, and the threshold function is applied. All white areas that were TH+ were 
measured for threshold amount and recorded. Data are reported as average neurite 
density in pixels2 for proximal and distal regions, and distal neurite density in pixels2 for 
each region surrounding the graft (i.e., dorsolateral, dorsomedial, ventrolateral, and 
ventromedial). These orientations were used to avoid the area of the striatum that was 
compromised by the overlying cannula (Figure 4.2f). This procedure was adapted from 
(Quintino et al., 2022).  
261 
 
Immunofluorescence 
DAB-chromogenic TH-labeled sections as described above were used as a guide 
when choosing one representative grafted striatal section for each immunofluorescent 
assay. For all immunohistochemical procedures, tissue sections were rinsed in TBS-Tx, 
blocked in 10% NGS/0.3% TBS-Tx, and then incubated overnight at 4°C. Tissue 
sections were then labeled with their respective Alexa Fluor™ secondary antibodies 
(1:500 dilution; see Table 4.1) for 90 minutes at room temperature and protected from 
light. Sections were mounted and coverslipped with Vectashield® anti-fade mounting 
medium with DAPI (H-1500; Vector Laboratories, Inc. Burlingame, CA, USA). 
Fluorescent Image Acquisition 
Using a Nikon A1 laser scanning confocal system equipped with a Nikon Eclipse 
Ti microscope and Nikon NIS-Elements AR software, all confocal images of (1024 x 
1024) immunofluorescent stained tissue sections were acquired. For DAT/TH IHC 
experiments, the 4x objective was used to collect a full image of the entire graft from 
each tissue section. One image of the contralateral intact striatum was also taken for 
comparison. Z-stacks of 2 µm and a scan speed of 1/8 frame/second were used. For 
VGLUT2/VMAT2 colocalization experiments, z-stacks were acquired through the entire 
thickness of the mounted tissue sections using the 60x oil-immersion objective 
(numerical aperture 1.40). A z-step of 1.5 um was used with a scan speed of 1/8 
frame/sec. Two images of each section were taken of the dorsolateral area of the graft 
because the dorsolateral striatum is a major input region of the basal ganglia and 
functions predominantly in motor control. Again, one image of the intact side was also 
taken for comparison. Lastly, for Iba1/GFAP/TH IHC experiments, z-stacks were 
262 
 
acquired using the 10x objective in which multiple images were taken in order to capture 
the entire graft region in the striatum. Z-steps were 2 um and the scan speed was 1/8 
frame/sec. Additional 10x images of the intact striatum was also taken for comparison. 
Table 4.1: Targeted Antigens and corresponding antibodies. 
Secondary antibody catalog numbers are Alexa Fluor®-conjugated, purchased from 
Invitrogen®. 
263 
 
 
 
 
Imaris Fluorescent Image Quantification 
Dual-label protein analysis of VGLUT2 and TH 
3-dimensional (3D) z-stacks of grafted tissue fluorescently labeled for VGLUT2 
and TH proteins were imported into Imaris®, converted to the native Imaris® file format, 
and subtracted of any background fluorescence. The surface function was used to 
generate a 3D reconstruction of the TH+ neuron fibers in the graft (µm3). The spots 
function then was used for VGLUT2 protein puncta, taking care to maintain the same 
parameters across all images. VGLUT2 puncta inside the TH+ grafted surface were 
filtered through Object-Object statistics using the “Shortest Distance to Surface” function 
to select only those located within the TH surface. Data are presented as the number of 
VGLUT2 protein puncta inside the grafted TH surface (µm³). 
Dual-label immunohistochemical DAT and TH protein analysis 
Two-dimensional (2D) confocal images of tissue immunolabeled for TH and the 
dopamine transporter (DA) proteins were imported into Imaris® and converted into the 
native Imaris® file format. Background subtraction of each image was conducted in 
order to minimize any background fluorescence in each fluorescent channel. The 
surface function was used to create an accurate reconstruction of both TH and DAT 
fibers within the graft. Data are represented as the ratio of DAT fluorescent intensity 
sum/DAT surface area (µm2) to TH fluorescent intensity sum/TH surface area (µm2). 
Triple-label immunohistochemical Iba1/GFAP/TH protein analysis 
3D z-stacks of grafted brain sections immunolabeled for TH, Iba1, and GFAP 
proteins were imported into Imaris® and converted to the native Imaris®  file format. 
Background subtraction of each image was conducted to minimize any background 
264 
 
fluorescence. 3D surface objects of TH, Iba1, and GFAP were created using semi-
automatic thresholding and the surface function plugin. Data are reported as Iba1 
surface volume (µm3) normalized to the surface volume of the graft (TH; µm3). GFAP is 
reported in a comparable manner. 
Triple-label immunohistochemical VMAT2/VGLUT2/TH protein analysis 
3D z-stacks of grafted tissue labeled for VMAT2, VGLUT2, and TH proteins were 
imported into Imaris® and converted to the native Imaris® file format. Background 
subtraction of each image was conducted to minimize any background fluorescence. As 
before, the surface function was used to generate an accurate 3D reconstruction of the 
TH+ neuron fibers in the graft (µm3). The spots function was then used for both VMAT2 
and VGLUT2 protein puncta, maintaining the same parameters across all images. The 
MATLAB “Colocalization” plugin was used to find VMAT2 and VGLUT2 protein puncta 
that were “co-localized” within 0.5 µm of each other. The co-localized VMAT2/VGLUT2 
puncta were then filtered using the Object-Object statistics “Shortest distance to 
Surface” to include only co-localized puncta that were within the TH surface. Data are 
represented as the number of co-localized VMAT2/VGLUT2 protein puncta inside the 
grafted TH surface (µm3). 
ELISA Assay for Interleukin-6 (IL-6) 
The Rat IL-6 ELISA kit from Invitrogen (catalog number BMS625) was used for 
IL-6 analysis. During perfusions at the conclusion of the study (10 weeks post-
engraftment), cardiac punctures from the right atrium of the heart were performed to 
collect blood samples from each rat subject. Blood samples were subsequently spun 
down using a centrifuge at 2200 rpm for 10 minutes at 4°C. The plasma serum was 
265 
 
collected and stored at -80°C until processing. Plasma samples were prepared and 
diluted prior to ELISA according to the manufacturer’s instructions.  
Statistical Analysis  
All behavioral data (i.e., GID and LID) were analyzed using non-parametric 
statistics including the Kruskal-Wallis test with Dunn’s multiple comparisons or Mann-
Whitney U tests with Dunn’s multiple comparisons (between subject comparisons) as 
LID and GID behavioral data are created using an ordinal rating scale. This statistical 
test was also employed for the results collected from the IL-6 ELISA as the standard 
deviation (SD) was significantly different between groups.  Amphetamine-mediated 
rotations were analyzed using a one-way ANOVA with Tukey’s multiple comparisons 
test.  
Unpaired two-tailed t-tests were used to compare average neurite outgrowth 
(proximal and distal) surrounding the DA grafts between treatment groups (BDNF- vs. 
PBS-infused animals). A two-way ANOVA with Tukey’s multiple comparisons was used 
to analyze distal neurite outgrowth in each region from the graft (i.e., DL, DM, VL, VM). 
Unpaired two-tailed t-tests were employed for DAT:TH intensity sum/µm3 expression 
and VMAT2/VGLUT2 colocalization in TH+ neurons. This statistical test was also used 
to compare Iba1 volume (µm3)/number of TH+ neurons and GFAP volume 
(µm3)/number of TH+ neurons. A one-way ANOVA with Sidak’s multiple comparisons 
was used for Iba1 or GFAP surface volume (µm3) alone.  
Non-parametric Spearman correlation tests were applied for all correlations with 
GID behavior. Amphetamine rotation correlations were analyzed using Pearson 
correlation. Statistical outliers, while rare, were identified using ROUT and Grubb’s 
266 
 
outlier tests. Parametric statistical tests were chosen for analysis only when data met 
assumptions for normality and homogeneity of variances. All statistical analysis were 
completed using GraphPad Prism software for Windows (v. 10.4.1).  
267 
 
 
 
RESULTS 
Exogenous BDNF infusion into DA-grafted animals enhances functional graft 
efficacy (i.e., amelioration of LID) and neurite outgrowth 
We hypothesized that exogenous BDNF infusion into DA-grafted homozygous 
rs6265 (i.e., Met/Met) animals would generate enhanced behavioral recovery from LID 
earlier than the other grafted and non-grafted groups. As expected, in comparison to the 
non-grafted BDNF-infused subjects, BDNF administration to DA graft recipients led to 
faster amelioration of LID behavior compared to the DA-grafted PBS-infused 
parkinsonian rats. Specifically, grafted BDNF-infused rats demonstrated a significant 
reduction in LID behavior compared to non-grafted BDNF-infused animals by four 
weeks post-engraftment. In contrast, grafted PBS-infused animals did not exhibit a 
significant amelioration of LID severity until considerably later at week 10 post-
engraftment (Figure 4.2a. Week 4: p = 0.0421 gBDNF vs. non-grafted BDNF; Week 10: 
p = 0.0032 gBDNF vs. non-grafted BDNF, p = 0.0176 gPBS vs. non-grafted PBS). At the 
final week (week 10), grafted BDNF- and PBS-infused animals exhibited approximately 
the same LID severity scores (Figure 4.2a; p ≥ 0.9999 gBDNF vs. gPBS at week 10).  
Because BDNF is a protein critical for neuronal survival, maturation, and function 
(Gonzalez et al., 2016; Hyman et al., 1991; Kowiański et al., 2018; Lai & Ip, 2013; Park 
& Poo, 2013; Sasi et al., 2017; Zagrebelsky et al., 2020), we investigated whether 
BDNF infusion impacted the size of the graft or the number of surviving grafted neurons. 
While no statistical significance was apparent (Figure 4.2d; p = 0.1449 gBDNF vs. 
gPBS), there was an inclination toward an increase in number of surviving DA neurons 
in the grafted BDNF-infused animals (Figure 4.2d). Likewise, a similar, but even 
268 
 
slighter, trend was demonstrated in graft size/volume with the grafted BDNF-infused 
subjects having a slightly larger graft volume, albeit not statistically significant (Figure 
4.2e, p = 0.3347 gBDNF vs. gPBS, not significant). In addition to graft volume and 
number of grafted neurons, I also analyzed average TH+ neurite area as an indication 
of graft-derived outgrowth. Again, we had hypothesized that BDNF administration would 
enhance neurite outgrowth in the DA-grafted parkinsonian rats due to the known 
function of BDNF and based on previous findings (see (Yurek, 1998; Yurek et al., 
1996)). Data revealed a significant increase in average neurite outgrowth in the DA-
grafted BDNF-infused compared to the DA-grafted PBS-infused animals, both proximal 
and distal to the graft (Figure 4.2g, Proximal: p = 0.0367 gBDNF vs. gPBS; Distal: p = 
0.0175 gBDNF vs. gPBS). Additionally, when reported as distal neurite density alone, 
the dorsolateral region of the graft in the DA-grafted BDNF-infused animals 
demonstrated significantly increased neurite density compared to the other regions 
(Figure 4.2h, DL vs. DM: p = 0.0391, DL vs. VL: p = 0.0116, DL vs. VM: p = 0.0034 in 
gBDNF) and compared to DA-grafted PBS-infused animals (p = 0.0006 DL gBDNF vs. 
DL gPBS). 
269 
 
Figure 4.2: Impact of BDNF supplementation on LID behavior and neurite 
outgrowth. 
(a) Total LID severity scores for grafted and non-grafted treatment groups throughout the 
pre-graft  period  and  for  10  weeks  post-graft  behavioral  recovery.  Statistics:  Non-
parametric Kruskal-Wallis test with Dunn’s multiple comparisons test at each time point.  
270 
 
 
 
 
 
Figure 4.2 (cont’d) 
Week 4: *p = 0.0421 gBDNF vs. non-grafted BDNF. Week 8: *p = 0.0169 gBDNF vs. non-
grafted BDNF. Week 10: **p = 0.0032 gBDNF vs. non-grafted BDNF; *p = 0.0176  gPBS 
vs. non-grafted PBS. Non-grafted groups (BDNF vs. PBS) were not significantly different 
at any post-graft time points (p ≥ 0.9324 for all time points). Grafted groups (BDNF- and 
PBS-infused) were not significantly different at any post-graft time points (p ≥ 0.9319 for 
all time points). (b) LID severity over the 220-minute time course for each animal response 
at week 4, 6, 8, and 10 post-engraftment. Statistics: Non-parametric Kruskal-Wallis test 
with Dunn’s multiple comparisons tests at each time point.  Week 4: (20 minutes): *p = 
0.0129 grafted BDNF vs. non-grafted BDNF; (70 minutes) *p = 0.0130 gBDNF vs. non-
grafted BDNF;  (120  minutes) *p  =  0.0184 gBDNF vs. non-grafted  BDNF; Week 6:  (70 
minutes) *p = 0.0314 gBDNF vs. non-grafted BDNF, *p = 0.0189 gPBS vs. non-grafted 
PBS; (120 minutes) **p = 0.0047 gBDNF vs. non-grafted BDNF, *p = 0.0307 gPBS vs. 
non-grafted PBS; (170 minutes) *p = 0.0368 gBDNF vs. non-grafted BDNF; Week 8: (70 
minutes) **p = 0.0016 gBDNF vs. non-grafted BDNF; (120 minutes) **p = 0.0015 gBDNF 
vs. non-grafted BDNF, *p = 0.0259 gPBS vs. non-grafted PBS; Week 10: (70 minutes) 
**p = 0.0018 gBDNF vs. non-grafted BDNF, *p = 0.0390 gPBS vs. PBS; (120 minutes) 
**p = gBDNF vs. non-grafted BDNF, *p = 0.0376 gPBS vs. non-grafted PBS (c) Total LID 
score for each treatment group showing each individual animal response at weeks 4, 6, 
8,  and  10.  Statistics:  Non-parametric  Kruskal-Wallis 
test  with  Dunn’s  multiple 
comparisons test at each time point. (d) Stereologically estimated total number of grafted 
DA  neurons.  Statistics:  Mean  ±  SEM.  Unpaired  two-tailed  t-test,  not  significant.  (e) 
Stereologically  estimated  total  grafted  volume.  Statistics:  Mean  ±  SEM.  Unpaired  two-
tailed t-test, not significant. (f) Representative confocal fluorescent micrograph of the DA-
grafted striatum in the Met/Met host parkinsonian rats. Magnification at 4x, scale bar = 
300 µm. The cannula placement is depicted in the dorsal region of the striatum above the 
grafted  DA  neurons.  Each  numbered  box  represents  the  analysis  region  for  neurite 
outgrowth  of TH+  DA  fibers.  1  =  Proximal dorsomedial,  2  =  Proximal  dorsolateral,  3  = 
Proximal  ventrolateral,  4  =  Proximal  ventromedial,  5  =  Distal  dorsomedial,  6  =  Distal 
dorsolateral, 7 = Distal ventrolateral, 8 = Distal ventromedial.  
271 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Figure 4.2 (cont’d) 
(g)  Average  neurite  density  of  total  fibers  surrounding  cell  bodies  of  DA  graft,  both 
2
.  Statistics:  Mean  ±  SEM. 
proximal  and  distal  to  the  graft.  Data  are  reported  as  pixels
2
) 
Unpaired two-tailed t-test between proximal and distal. (h) Distal neurite density (pixels
of each region (DL, DM, VL, VM) surrounding the graft. Statistics: Mean ± SEM. Two-way 
ANOVA  with  Tukey’s  multiple  comparisons.  Abbreviations:    LID  =  levodopa-induced 
dyskinesia, BDNF = brain-derived neurotrophic factor, LD = levodopa, DA = dopamine, 
DL = dorsolateral, DM = dorsomedial, VL = ventrolateral, VM = ventromedial.  
272 
 
 
 
 
 
Exogenous BDNF administration increased the severity and incidence of GID in 
DA-grafted homozygous rs6265 (Met/Met) rats 
In contrast to our hypothesis, DA-grafted BDNF-infused animals exhibited 
significantly higher GID severity when compared to DA-grafted PBS-infused animals at 
week 5 post-engraftment (Figure 4.3a, p = 0.0193 gBDNF vs. gPBS). While this 
significant difference was lost at 10 weeks post-engraftment, a similar trend was 
retained with a slightly higher GID severity in the DA-grafted BDNF-infused rats (Figure 
4.3a, p = 0.0991 gBDNF vs. gPBS). To complement the GID severity results, I also 
examined the incidence of GID behavior in both grafted groups. Total GID incidence 
was defined as the number of animals in each group that demonstrated a total GID 
rating score of 4 or higher. I have additionally included the incidence of peak 
amphetamine-mediated GID behavior which we defined as the number of animals in 
each group with a peak (70 minute timepoint) GID score as 2 or higher. The incidence 
scores of GID (total and peak) were determined accordingly because a total score of <4 
and a peak score <2 are reflective of stereotypic behaviors that can occur in non-
grafted/non-lesioned rats (e.g., intermittent licking and chewing).  
At 5 weeks post-engraftment, DA-grafted BDNF-infused animals had a much 
greater percent incidence of both total and peak GID behavior in comparison to the DA-
grafted PBS-infused animals (Figure 4.3b; 55.6% compared to 11.1% in total GID, and 
66.7% to 22.2% in peak GID incidence). Likewise, at 10 weeks post-engraftment, 
percent incidence of GID behavior in the grafted BDNF-infused animals was 44.4% total 
GID compared to 22.2% total in grafted PBS-infused animals, and 33.3% peak GID 
compared to 22.2% peak in grafted PBS-infused animals (Figure 4.3c).  
273 
 
Mercado and colleagues demonstrated a statistically positive correlation between 
total GID severity and the expression of VGLUT2 within grafted DA neurons only in the 
homozygous rs6265 (Met/Met) animals engrafted with WT eVM cells (Mercado et al., 
2021). VGLUT2 inside DA neurons is atypical and indicative that the grafted DA neurons 
are co-releasing glutamate (El Mestikawy et al., 2011). In embryonic stages, DA 
neurons co-express VGLUT2; however, as the neurons mature, their immature 
phenotype of VLGUT2 co-expression is lost (El Mestikawy et al., 2011; Kordower et al., 
1996) for the most part (Kawano et al., 2006; Morales & Root, 2014; Yamaguchi et al., 
2015). In our study, we hypothesized that administering exogenous BDNF would induce 
the maturation of the WT DA neurons grafted into homozygous Met/Met rats, therefore 
decreasing the expression of VGLUT2 and ameliorating GID behavior correlated with 
this marker (Mercado et al., 2021). However, our results showed that VGLUT2 
expression is maintained even after exogenous administration of BDNF in the DA-
grafted animals. Indeed, no statistical differences were found between grafted BDNF- 
and grafted PBS-infused animals (Figure 4.3e, p = 0.7422 gBDNF vs. gPBS). 
Unexpectedly, VGLUT2 expression was also no longer correlated with GID behavior 
(Figure 4.3f, r = 0.6303, p = 0.0751 gBDNF; r= -0.07207, p = 0.8889 gPBS), although 
there was a positive trend in the DA-grafted BDNF-infused group.  
274 
 
Figure 4.3: Impact of BDNF supplementation of GID behavior. 
(a)  Total  amphetamine-induced  GID  severity  scores  at  week  5  and  week  10  post-
engraftment. Statistics: Mean ± SEM. Unpaired two-tailed t-tests between gBDNF and  
275 
 
 
Figure 4.3 (cont’d) 
gPBS groups. Week 5: p = 0.0193 gBDNF vs. gPBS. Week 10: p = 0.0991. (b) Percent 
incidence of total GID severity score of ≥ 4 in all four treatment groups at week 5 and 
week  10  post-engraftment.  Data  expressed  as  Mean  ±  SEM.  (c)  Percent  incidence  of 
peak (70 minutes post-amphetamine administration) GID severity score of ≥ 2 in all four 
treatment  groups  at  week  5  and  week  10  post-engraftment.  (d)  Schematic  diagram 
depicting  synaptic  connectivity  and  VGLUT2  expression  in  immature  (embryonic)  and 
mature  dopaminergic  neurons.  Immature  DA  neurons  express  VGLUT2  and  form 
asymmetric,  atypical  connections  directly  onto  the  dendritic  head  of  MSNs.  As  the 
neurons  mature,  they  lose  the  VGLUT2  phenotype  and  form  typical  en  passant 
associations onto the shaft of the dendritic spine of MSNs (El Mestikawy et al., 2011). (e) 
Fluorescent  micrograph  and  subsequent  Imaris  3D  reconstruction  of  DA  (THir)  fibers 
containing VGLUT2 protein. Scale bar = 5 um. (f) Quantification of the number of VGLUT2 
3
protein found within TH+ DA fibers, normalized to the TH surface volume (um
). Statistics: 
Mean ± SEM. Unpaired two-tailed t-tests between gBDNF and gPBS treatment groups. 
(g)  Spearman  correlation  between  quantify  of  VGLUT2  protein  located  inside  TH+ 
neurons  and  total  amphetamine-mediated  GID  score  at  week  5  post-engraftment.  No 
significance. Data for week 10 post-engraftment was also not significant: data not shown. 
Abbreviations:  GID  =  graft-induced  dyskinesia,  VGLUT2  =  vesicular  glutamate 
transporter  2,  DA  =  dopamine,  MSNs  =  medium  spiny  neurons,  TH  =  tyrosine 
hydroxylase. 
GID behavior is associated with behavioral and morphological indices of excess 
DA release in DA-grafted BDNF-infused animals  
In a 6-OHDA-lesioned parkinsonian rat, the subject normally rotates ipsilateral, or 
in the same direction, toward the lesioned hemisphere upon administration of 
amphetamine which causes DA release from intact DA terminals in the intact 
contralateral striatum (Figure 4.4a, see (Dunnett & Torres, 2011)). Amphetamine, an 
indirect DA agonist, will bind to monoamine transporters, thereby increasing the release 
of DA into the synapse from intact nigrostriatal DA terminals (or grafted DA neurons). 
Since one hemisphere is lesioned in our unilaterally lesioned rat model, amphetamine 
will only activate increased DA release from the intact hemisphere, causing the animal 
to rotate ipsilaterally (Dunnett & Torres, 2011). The DA graft should mitigate rotation 
behavior if equal release of DA occurs between the two striatal hemispheres. However, 
276 
 
 
if the graft is releasing more DA than the intact striatum, the rat will rotate contralaterally, 
or away from, the lesioned side after amphetamine administration.  
As expected, there were no differences in net ipsilateral amphetamine rotations 
per minute (Figure 4.4b; p = 0.4297 Week 5, p = 0.9842 Week 10 non-grafted BDNF 
vs. non-grafted PBS) or in total ipsilateral rotations over 220 minutes post-amphetamine 
(Figure 4.4cd; p = 0.9764 Week 5, p > 0.9999 Week 10 non-grafted BDNF vs. non-
grafted PBS) found between the sham-grafted (BDNF- and PBS-infused) animals at 
either week 5 or week 10 of the study. Both grafted BDNF-infused and grafted PBS-
infused parkinsonian rats demonstrated recovery of amphetamine-mediated rotational 
behavioral following engraftment at week 5 (Figure 4.4b, p <0.0001 gBDNF vs. non-
grafted BDNF; p = 0.0071 gPBS vs. non-grafted PBS) and week 10 (p <0.0001 gBDNF 
vs. non-grafted BDNF, p <0.0001 gPBS vs. non-grafted PBS). When comparing DA-
grafted BDNF- and PBS-infused animals, there was a significant increase in the number 
of ipsilateral rotations in the PBS-infused animals (i.e., increased contralateral rotations 
in the BDNF-infused animals) at week 5 (Figure 4.4b per minute: p = 0.0159; Figure 
4.4c total: p = 0.0307 gBDNF vs. gPBS). Although significance is lost at week 10 
between these groups, there remains a similar trend between the grafted BDNF- and 
grafted PBS-infused animals in which the BDNF-infused animals have a greater number 
of contralateral rotations, suggesting that excess DA is being released from the DA-
grafted rats there were exposed to exogenous BDNF infusion (Figure 4.4d).  
In order to further assess whether the DA-grafted BDNF-infused animals have a 
propensity for increased DA release, immunohistochemical postmortem expression of 
DAT was examined. DAT is a transmembrane protein responsible for clearing DA from 
277 
 
the extracellular space; an increase in DAT has been linked to an increase in DA 
release since DAT upregulation is required in order to clear higher concentrations of DA 
from the synapse (Lohr et al., 2017; Zhu & Reith, 2008). Affirmatively, there was a 
significant increase in DAT expression per TH+ neuron (i.e., DAT:TH Intensity/um2) in 
the grafted BDNF-infused animals (Figure 4.4f, p = 0.0174 gBDNF vs. gPBS). 
Fluorescent intensity of DAT immunohistochemical staining here is synonymous with 
expression of the DAT protein as the staining pattern of DAT fills the entire TH+ neuron. 
Strikingly, expression levels of DAT:TH were positively and robustly, correlated with GID 
behavior at week 5 post-engraftment (Figure 4.4g; r = 0.8320, p = 0.00716 gBDNF). 
This correlation was no longer significant at week 10 (data not shown), although GID 
behavior was also not significant at this timepoint.  
DAT:TH expression and ipsilateral rotations were investigated to determine any 
correlation of these measures. While not statistically significant, DAT:TH expression 
seemed to have a negative trend with net ipsilateral rotations at week 5 post-
engraftment: the animal with the highest DAT:TH expression had the lowest number of 
ipsilateral rotations (or highest contralateral rotations) only in the grafted BDNF-infused 
group (Figure 4.4hi). When DAT and TH expression were examined separately and 
then correlated to net ipsilateral rotations, a similar negative trend was apparent in the 
grafted BDNF-infused animals in which a higher DAT expression denoted a lower 
number of ipsilateral rotations (Figure 4.4hii). In contrast, with TH+ expression alone, 
no significant correlation or trend existed between TH and the number of rotations 
(Figure 4.4hiii), suggesting that DAT expression alone is more likely associated with 
278 
 
the number of rotations a unilaterally lesioned parkinsonian rat makes in response to 
amphetamine administration.  
Recent evidence has established that VMAT2 is co-expressed with VGLUT2 in a 
subpopulation of midbrain DA neurons in the ventral tegmental area (VTA) and the 
SNpc (Hnasko et al., 2010; H. Shen et al., 2021). Therefore, this indicates that a 
subpopulation of DA neurons can co-release DA and glutamate from terminals in the 
striatum (Hnasko et al., 2010; H. Shen et al., 2018). Furthermore, this lends to the 
theory of vesicular synergy, as introduced above, which posits that, if VMAT2 and 
VGLUT2 are co-localized on the same synaptic vesicle, the presence of VGLUT2 
(glutamate) will increase the pH gradient by acidifying the inside of the synaptic vesicle, 
allowing for more loading of DA (Buck et al., 2021; Hnasko et al., 2010; H. Shen et al., 
2018).  
In the context of our studies based on this theory, I hypothesized that VMAT2 and 
VGLUT2 are co-localized on the same synaptic vesicles, increasing the amount of DA 
that is loaded, thereby increasing the amount of vesicular DA release and GID behavior 
in the grafted BDNF-infused animals. As such, I have examined whether the (presumed) 
co-localization of VMAT2 and VGLUT2 exists inside TH+ DA fibers. Although no 
significant difference were found between the DA-grafted BDNF-infused and DA-grafted 
PBS-infused animals, there was a slight trend of increased VMAT2/VGLUT2 presumed 
colocalization in the grafted BDNF-infused animals (Figure 4.4j, p = 0.1758). More 
importantly, however, the number of (presumed) co-localized VMAT2/VGLUT2 inside 
TH+ fibers was significantly correlated with GID behavior in the grafted BDNF-infused 
animals. Specifically, an increase of GID behavior correlated to an increase in 
279 
 
(presumed) VMAT2/VGLUT2 colocalization inside TH+ fibers (Figure 4.4k; r = 0.7647, p 
= 0.02050 gBDNF). To my knowledge, this is the first evidence suggestive that VMAT2 
and VGLUT2 are co-localized in the same vesicle in grafted eVM DA neurons.  
Figure 4.4: Exogenous BDNF administration is associated with indices of excess 
DA release. 
(a) Schematic depicting the amphetamine-mediated rotational behavior of a unilaterally 
6-OHDA-lesioned animal. Upon amphetamine administration, a lesioned animal will  
280 
 
 
Figure 4.4 (cont’d) 
rotate  ipsilateral  (same  side)  toward  the  lesioned  striatum.  Modified  from  (Dunnett  & 
Torres, 2011). (b) Net ipsilateral rotations per minute, manually counted at the 70-minute 
post-amphetamine injection timepoint. Rotations are reported for both week 5 and week 
10  post  engraftment.  Statistics:  Mean  ±  SEM.  Two-way ANOVA  with  Tukey’s  multiple 
comparisons. Week 5 post-graft: ****p = <0.0001 gBDNF vs. non-grafted BDNF, **p = 
0.0071 gPBS vs. non-grafted PBS. #p = 0.0159 gBDNF vs. gPBS. Week 10 post-graft: 
****p < 0.0001 gBDNF vs. non-grafted BDNF, ****p < 0.0001 gPBS vs. non-grafted PBS. 
(c) Amphetamine rotational behavior expressed as net ipsilateral rotations at week 5 and 
10  (d)  post-engraftment.  Ordinary  one-way ANOVA  with  Tukey’s  multiple  comparisons 
tests. Week 5: p = 0.0307 gBDNF vs. gPBS. p = 0.0022 gPBS vs. non-grafted PBS. p = 
<0.0001  gBDNF  vs.  non-grafted  BDNF.  Week  10:  p  =  0.0514  gBDNF  vs.  gPBS.  p  = 
<0.0001 gPBS vs. non-grafted PBS. p = <0.0001 gBDNF vs. non-grafted BDNF.  
281 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Figure 4.4 (cont’d) 
(e)  (i)  Representative  confocal  fluorescent  micrograph  demonstrating  differing  staining 
patterns  of  DAT  and  TH  expression  in  the  grafted  parkinsonian  rat  striatum.  (ii) 
Fluorescent  micrographs  depicting  an  increase  in  DAT  staining  (cyan)  in  the  grafted 
parkinsonian striatum treated with BDNF administration compared to PBS treatment (iii). 
Scale bar = 300 µm. (f) Quantification of DAT expression in the grafted DA neurons. Data 
are expressed as the ratio of the sum fluorescent intensity of DAT to the sum fluorescent 
2
).  Statistics: 
intensity  of  TH,  both  normalized  to  their  respective  surface  areas  (um
Unpaired  two-tailed  t-tests.  p  =  0.0174  gBDNF  vs.  gPBS.  (g)  Spearman  correlation 
and  total  amphetamine-mediated  GID  severity  score  at 
between  DAT:TH  intensity/um
was  significantly 
week  5  and  week  10  post-engraftment.  Only  DAT:TH  intensity/um
correlated in the grafted BDNF-infused animals at week 5. p = 0.007716. Correlation for 
week 10 not shown, not significant (p = 0.1967). 
2 
2 
282 
 
 
 
Figure 4.4 (cont’d) 
(hi)  Spearman  correlation  between  DAT:TH 
amphetamine-mediated rotations. (hii) Spearman correlation between DAT intensity/um
alone.  (i)  Confocal  fluorescent  micrograph  depicting 
alone,  and  (hiii)  TH  intensity/um
(presumed) co-localization of VMAT2 and VGLUT2 protein located inside TH+ DA neuron 
fibers. Scale bar = 2 µm  
ipsilateral 
2 
intensity/um
and  net 
2 
2 
283 
 
 
 
 
 
 
 
 
 
 
Figure 4.4 (cont’d) 
(j) Quantity of number of (presumed) co-localized VMAT2/VGLUT2 protein located inside 
TH  DA  neuron  fibers.  Statistics:  Mean  ±  SEM.  Unpaired  two-tailed  t-tests.  p  =  0.1758 
gBDNF  vs.  gPBS.  (k)  Spearman  correlation  between  the  quantity  of  (presumed)  co-
localized  VMAT2/VGLUT2  protein  located  inside  TH  DA  neuron  fibers  and  total  GID 
severity  scores  at  week  5  post-engraftment.  p  =  0.02050  in  the  grafted  BDNF-infused 
animals.  
284 
 
 
 
 
 
 
Exogenous BDNF infusion increases microglial (Iba1) expression in DA-grafted 
animals  
As introduced in Chapter 3, we demonstrated previously that engrafted 
parkinsonian rats exhibited higher percentages of asymmetric synapses following 
immune activation, and that this correlated significantly with increased GID (Soderstrom 
et al., 2008). Similarly, in clinical trials, patients developed GID behavior after withdrawal 
of immune suppression (Freed et al., 2001; Hagell et al., 2002; Olanow et al., 2003). 
Because this evidence points to a possible influential role of the immune response in 
the induction of GID behavior, we investigated two well-known immune markers, Iba1 
and GFAP.  
Iba1, which is a factor that can be involved in the creation and elimination of 
synapses (Tremblay et al., 2011), was used as an indicator of inflammation and 
quantified in the striatum of all rat subjects. To label astrocytes, GFAP was employed 
and served as an additional inflammatory marker. Injury, such as grafting, can activate 
astrocytes, leading to the release of proinflammatory chemokines and cytokines 
(Alhadidi et al., 2024; Giovannoni & Quintana, 2020). Thus, along with Iba1 expression, 
elevated GFAP is also associated with inflammation.  
BDNF-infused DA-grafted animals demonstrated a slight, though not statistically 
significant, increase in overall Iba1 expression compared to the vehicle (PBS)-infused 
DA-grafted subjects (Figure 4.5b; p = 0.3806 gBDNF vs. gPBS). Similarly, in the non-
grafted animals, Iba1 was slightly increased in the BDNF-infused animals than in the 
PBS-infused group, but this difference was not statistically significant (Figure 4.5b, p = 
0.5645 gBDNF vs. non-grafted BDNF). When normalized to the number of grafted TH+ 
285 
 
neurons, Iba1 expression was significantly increased in the DA-grafted BDNF-infused 
rats compared to the grafted PBS-infused treatment (Figure 4.5c, p = 0.0232 gBDNF 
vs. gPBS). Although statistical significance was noted, there was no significant 
correlation found between Iba1 expression and GID behavior at week 5 (Figure 4.5d; r 
= -0.06723, p = 0.8685) or week 10 (data not shown).  
GFAP expression was significantly greater in the DA-grafted, compared to the 
non-grafted, BDNF-infused animals, suggesting that grafting stimulates astrocyte 
upregulation (Figure 4.5e, p = 0.0168 gBDNF vs. non-grafted BDNF). Following 
normalization to the number of grafted TH+ neurons, no significant differences were 
observed between the grafted treatment groups (Figure 4.5f, p = 0.3510 gBDNF vs. 
gPBS). Furthermore, similar to Iba1 expression, GFAP expression did not significantly 
correlate with GID behavior at either week 5 (Figure 4.5g; r = -0.03361, p = 0.9397 
gBDNF) or 10 post-engraftment (data not shown). 
To complement the immunohistochemical findings, an interleukin-6 (IL-6) 
sandwich enzyme-linked immunosorbent assay (ELISA) was conducted on serum 
collected from cardiac punctures at the conclusion of the study (week 10). IL-6 is a 
proinflammatory cytokine often elevated in response to inflammation or injury (Tanaka et 
al., 2014). The results indicated no significant differences in IL-6 concentrations among 
the non-grafted or grafted treatment groups (Figure 4.5h, p > 0.9999 for all groups). 
However, a subtle increase in IL-6 was observed in the grafted BDNF-infused rats, 
consistent with the trends seen in Iba1 and GFAP expression (Figure 4.5h). Despite 
this, no significant correlation was found between IL-6 levels and GID behavior at weeks 
286 
 
5 (Figure 4.5i; r = -1907, p = 0.6189 gBDNF; r = -0.3554, p = 0.3806 gPBS) or 10 in 
either the grafted BDNF- or grafted PBS-infused animals (week 10 data not shown). 
287 
 
 
 
Figure 4.5: Exogenous BDNF infusion increases microglial (Iba1) expression in 
DA-grafted animals. 
(a) Confocal fluorescent micrograph and Imaris
and GFAP+ cells. Scale bar = 20 um. (b) Quantity of Iba1+ cells (volume um
3D image rendering highlighting Iba1+ 
3
) expressed  
TM 
288 
 
 
Figure 4.5 (cont’d) 
in the lesioned/grafted striatum of each treatment group. Ordinary one-way ANOVA with 
Šídák's multiple comparisons test; no significance between groups. (c) Quantity of Iba1+ 
3
)  normalized  to  the  number  of  grafted  TH+  neurons.  Mean  ±  SEM. 
cells  (volume  um
Unpaired t-tests. p = 0.0232. (d) Spearman correlation between quantity of Iba1+ cells 
3
(volume um
) normalized to the number of grafted TH+ neurons and total GID severity 
scores  at  week  5  post-engraftment.  Week  10  was  not  significant;  data  not  shown.  (e) 
3
Quantity of GFAP+ cells (volume um
) expressed in the lesioned/grafted striatum of each 
treatment group. Ordinary one-way ANOVA with Šídák's multiple comparisons test. p = 
3
0.0103  gBDNF  vs.  non-grafted  BDNF.  (f)  Quantity  of  GFAP+  cells  (volume  um
) 
normalized  to  the  number  of  grafted  TH+  neurons.  Statistics:  Mean  ±  SEM.  No 
significance.  (g)  Spearman  correlation  between  quantity  of  quantity  of  GFAP+  cells 
3
(volume um
) normalized to the number of grafted TH+ neurons and total GID severity 
scores  at  week  5  post-engraftment.  Week  10  was  not  significant;  data  not  shown.  (h) 
Serum concentration of IL-6 (pg/mL) from each treatment group. Statistics: Mean ± SEM. 
Non-parametric  Kruskal-Wallis  with  Dunn’s  multiple  comparisons  test.  (i)  Spearman 
correlation between serum concentration of IL-6 (pg/mL) and GID severity scores at week 
5  post-engraftment.  Week  10  was  also  not  significant.  Data  not  shown. Abbreviations: 
Iba1 = ionized calcium-binding adaptor molecule 1, GFAP = glial fibrillary acidic protein, 
IL-6 = interleukin-6.  
289 
 
 
 
 
 
DISCUSSION 
While neural transplantation does not offer a “cure” for PD, it does offer a 
promising non-pharmacological alternative to the therapies currently prescribed for PD. 
In both preclinical and clinical settings, the past two decades have seen rigorous 
research in neural grafting, taking strides to optimize patient selection (e.g., age, 
disease severity) and transplantation methods (e.g., cell source, preparation) (Barker et 
al., 2024). Despite refinement, many obstacles still exist with GID continuing to be a 
prominent, detrimental side effect. The lack of underlying mechanisms responsible for 
GID has generated a large gap in our understanding of how to make cell therapy a 
viable therapeutic option. In order to move forward, it will be imperative to harness the 
benefit while preventing the side effect of GID to fully optimize cell transplantation as a 
therapeutic for PD.  
One of the major focus areas in our laboratory involves striving to understand 
factors linked to GID in parkinsonian rats that receive eVM DA grafts. More recently, we 
began investigating GID in the context of the rs6265 SNP, testing the hypothesis that 
this SNP is an unrecognized contributor to the development of this side effect in a 
subpopulation of PD patients who received embryonic DA neuron grafts. Using the 
novel CRISPR knock-in rat model of the rs6265 BDNF SNP, we indeed demonstrated 
that parkinsonian rats homozygous for rs6265 (i.e., Met/Met) engrafted with WT DA 
neurons uniquely developed GID behavior compared to their WT counterparts engrafted 
with the same DA neurons (Mercado et al., 2021). We have also demonstrated, for the 
first time, that DA grafts exhibit neurochemical evidence of DA/glutamate co-
transmission evidenced by the expression of VGLUT2mRNA and protein co-localized 
290 
 
inside TH+ neuronal fibers (Mercado et al., 2021). Compellingly, only in the Met/Met 
hosts was VGLUT2 expression significantly correlated to GID behavior. As previously 
suggested (Kordower et al., 1996), our continuing research indicates that grafted eVM 
DA neurons maintain an immature phenotype (i.e., VGLUT2; (El Mestikawy et al., 
2011)), establishing asymmetric (presumed) glutamatergic synapses onto MSNs 
(Mercado et al., 2021; Soderstrom et al., 2008). These ultrastructurally-defined 
asymmetric synapses formed by grafted DA neurons positively correlated with an 
increase in GID (Soderstrom et al., 2008).  
Based on these compelling data pointing to improper DA-glutamate 
circuitry/wiring as a potential underlying mechanism of GID, we hypothesized that the 
rs6265 (Met/Met) host environment, due to a decrease in BDNF release, prevents 
proper graft maturation and permits synaptic miswiring of the transplanted DA neurons, 
thus giving rise to GID induction. Without sufficient BDNF, a protein critical for synaptic 
formation and dendritic spine formation (Gonzalez et al., 2016; Hyman et al., 1991; 
Kowiański et al., 2018; Lai & Ip, 2013; Park & Poo, 2013; Sasi et al., 2017; Zagrebelsky 
et al., 2020), the grafted neurons may not be able to form proper connections with the 
host MSNs. Consequently, within this current study, we predicted that, if we could 
“replenish” the deficient BDNF, grafted DA neuron maturation and proper graft-host 
integration would occur, preventing aberrant miswiring and behavior side effects (i.e., 
GID development).  
Strikingly, BDNF infusion into Met/Met parkinsonian rats engrafted with WT DA 
neurons exhibited significantly higher GID behavior compared to DA-grafted vehicle 
PBS-infused control animals. Further, not only was this demonstrated behaviorally, 
291 
 
BDNF infusion was also unsuccessful in allowing for maturation of the grafted DA 
neurons, evidenced by remaining expression of VGLUT2 protein inside TH+ neurites. 
Although VGLUT2 expression was no longer correlated with GID behavior in these DA-
grafted parkinsonian rats, it is probable that BDNF is not the sole factor required for full 
maturation of DA neurons transplanted into the mature adult parkinsonian striatum. 
Moreover, there is the possibility that four weeks of infusion was insufficient to induce 
full gestational maturation of these embryonic neurons placed into the adult striatum. 
These disparate findings collectively indicate that factors in addition to, or distinct from, 
BDNF and/or VGLUT2 expression contribute to GID induction in Met/Met parkinsonian 
animals.  
Despite a significant difference in GID behavior between infusion groups in this 
last study, no statistical differences were found in graft-mediated reduction in LID 
behavior. Interestingly, while grafted rs6265 Met/Met animals seem to uniquely develop 
GID behavior, this genotype type has conversely demonstrated enhanced behavioral 
recovery (i.e., LID amelioration) compared to their grafted WT counterparts in our 
previous study (Mercado et al., 2021). In the current experiment, we hypothesized that 
the DA-grafted BDNF-infused animals would have an even greater/faster amelioration 
of LID behavior than the DA-grafted PBS-infused animals. While this hypothesis was 
somewhat accurate, at the conclusion of the study, reduction in LID scores of both 
grafted groups were statistically similar, ultimately indicating that BDNF treatment did 
not effectively impact functional recovery in the paradigm employed.  
Because BDNF is known to induce neurite outgrowth in cultured neurons (Barde 
et al., 1982; Kellner et al., 2014) and in vivo ((Yurek et al., 1996; Yurek, 1998; J. Zhang 
292 
 
et al., 2011), we hypothesized that the grafts that received BDNF infusion would exhibit 
enhanced neurite outgrowth compared to grafts that received only PBS infusion. 
Indeed, the grafted BDNF-infused animals demonstrated significantly increased 
average neurite outgrowth, both in the proximal and distal regions of the graft, 
compared to the grafted PBS-infused animals. Moreover, in the distal region of the graft 
in these grafted BDNF-infused animals, the dorsolateral neurite outgrowth was 
remarkably higher than the neurite outgrowth in the same area of the grafted PBS-
infused animals. Additionally, these findings also confirm what has been shown with 
exogenous BDNF infusion in grafted parkinsonian rats in (Yurek, 1998; Yurek et al., 
1996). Because the cannula was placed directly dorsal to the graft in each animal 
subject to infused BDNF, it is understandable that the dorsolateral region in the grafted-
BDNF exhibited the most neurite outgrowth compared to grafted PBS-infused animals. 
We can infer that this increase in neurite outgrowth may have had a positive impact on 
the slight enhancement of graft efficacy in the grafted BDNF-infused animals, but we 
cannot yet definitively ascertain whether this increase in neurite outgrowth influences 
GID behavior. It could be postulated that increased neurite outgrowth leads to increased 
asymmetric synaptic connections, and therefore GID behavior; however, further 
investigation is warranted.  
 To further explore potential mechanisms of GID in the Met/Met parkinsonian 
animals and to understand how BDNF infusion could induce more severe GID, I utilized 
amphetamine-mediated rotational behavior and postmortem immunohistochemical 
expression of the DAT, VMAT2, and VGLUT2 proteins to help define the mystery of GID 
induction. 
293 
 
Amphetamine-mediated rotations, my secondary readout of graft function, does 
not necessarily determine graft size or extent of reinnervation (Björklund & Lindvall, 
2017); however, it can assess whether the transplanted graft is functioning properly. A 
unilaterally lesioned rat with no grafted DA neurons will rotate ipsilateral to the lesioned 
hemisphere upon amphetamine administration as detailed earlier (Dunnett & Torres, 
2011). After receiving a DA graft, the parkinsonian rat should no longer rotate if the graft 
is balances the amount of DA between the intact and lesioned striatal hemispheres. In 
this way, I used amphetamine-mediated rotations to indirectly assess DA release from 
the DA grafts in the presence or absence of BDNF supplementation. While the non-
grafted BDNF- or PBS-infused parkinsonian rats maintained a high level of ipsilateral 
rotations indicative of their lesioned status, the DA-grafted PBS-infused rats showed a 
normalization of rotational asymmetry. Compellingly, DA-grafted BDNF-infused animals 
rotated contralaterally to the lesioned hemisphere, suggesting that these grafted 
neurons were producing excess DA upon amphetamine administration in comparison to 
their vehicle-control counterparts. Curiously, rotations were not correlated to GID 
behavior. This functional measure of DA release provides insight into the consequences 
of BDNF administration and how it relates to one underlying mechanism of GID 
behavior (i.e., excess DA release).  
Due to the increase in contralateral rotations in the grafted BDNF-infused 
animals and the functional confirmation that these grafts are releasing more DA than 
observed in the DA-grafted PBS-infused group, I next analyzed the expression of DAT 
to confirm or refute the hypothesis that, if BDNF was promoting increased DA release, 
there would be increased DAT expression in the DA-grafted BDNF-infused animals 
294 
 
which would be significantly correlated to GID behavior. Indeed, the data demonstrate 
that DAT expression was significantly higher in the DA-grafted BDNF-infused animals 
compared to the DA-grafted PBS-infused animals. Importantly, the increase in DAT was 
also significantly correlated with GID scores in the DA-grafted BDNF-infused animals, 
supporting the association between GID behavior and DA release. Also at week 5, we 
compared DAT:TH intensity/um2 with net ipsilateral amphetamine-induced rotations. 
Further examining the relationship between DAT fluorescent intensity or TH intensity, 
only DAT and net ipsilateral rotations were correlated, confirming that DAT expression 
likely is related to functional DA release mediated by amphetamine. Thus, DA release 
continues to be a promising mechanism responsible for GID. It is also important to note 
that DAT function, not just expression (Bosse et al., 2012), could be altered as well, but 
further research would be required to evaluate this. 
It is not surprising that BDNF administration seemingly promotes DA release. 
Several groups have demonstrated a relationship between BDNF and DA, showing that 
BDNF plays a critical role in DA neurotransmission. For example, Blochl and colleagues 
demonstrated enhanced depolarization and basal DA release upon BDNF 
administration to E14 eVM cultured neurons (Blöchl & Sirrenberg, 1996). Similarly, 
BDNF stimulated DA uptake activity also in eVM cultured neurons ((Beck et al., 1993; 
Knüsel et al., 1991). Striatal in vivo infusions of BDNF increased electrical activity in rat 
midbrain DA neurons (Bosse et al., 2012; R. Y. Shen et al., 1994) and elevated activity-
dependent release of DA (Goggi et al., 2002) in both rat brain striatal slices and in the 
hippocampus (Paredes et al., 2007). Altar and colleagues, in contrast, did not see a 
change in striatal DA levels after two-week BDNF infusion to the SNpc in adult rats but 
295 
 
saw an increase in DA metabolite concentrations, indicating increased DA turnover, 
more so after amphetamine administration (Altar et al., 1992). Based on the evidence 
that BDNF administration evokes DA release, and because our study is consistent with 
these findings, I explored how this could mechanistically be related to GID induction. 
This exploration led me to a possible connection between DA release and glutamate co-
transmission. 
For over 20 years, it has been known that DA neurons have the potential to co-
transmit both DA and glutamate neurotransmitters. Yet, the functional significance and 
benefit behind this phenomenon remains uncertain. A number of laboratories have 
established that a subpopulation of DA neurons co-express/co-release DA and 
glutamate, marked by co-expression of either Vglut2 mRNA or VGLUT2 protein 
(Bérubé‐Carrière et al., 2009; Buck et al., 2022; Dal Bo et al., 2004; Fortin et al., 2019; 
Mingote et al., 2019; Root et al., 2016; T. Shen et al., 2018; Sulzer et al., 1998; Trudeau 
et al., 2014). Most have demonstrated that this subset of DA+/glutamate+ neurons are 
localized to the VTA, and only a small subset of these neurons project from the SNpc to 
the dorsal striatum (Buck et al., 2022; Eskenazi et al., 2021; Kawano et al., 2006). 
Behaviorally, VGLUT2 knock-out (KO) in DA neurons diminished neurochemical 
responses of mice to methamphetamine (H. Shen et al., 2021) and reduced locomotor 
response to cocaine (Hnasko et al., 2010), both of which are DA-releasing 
pharmacological agents. Furthermore, Hnasko and colleagues also demonstrated both 
decreased glutamate and DA release from ventral striatum slice cultures of VGLUT2 KO 
DA neurons (Hnasko et al., 2010), expressive of an important function of dual-release of 
these two neurotransmitters.  
296 
 
The most prominent theory that has been increasingly recognized as a logical 
functional explanation of DA/glutamate co-transmission, and the findings above in 
VGLUT2 KO DA neurons, is vesicular synergy (Figure 4.6). Vesicular synergy is a 
process that leads to enhanced loading of a primary neurotransmitter into secretory 
vesicles (for review (El Mestikawy et al., 2011)). For instance, it is well known that, with 
VGLUT3 and vesicular acetylcholine transporter (VAChT) on the same vesicle in 
cholinergic neurons, enhanced packaging of acetylcholine occurs (Gras et al., 2008). 
Although well established in this system, other systems such as dopaminergic neurons, 
GABA neurons, etcetera, remain relatively unexplored. In the dopaminergic system, the 
hypothesis of vesicular synergy suggests that the presence of VGLUT2 on the same 
vesicle as VMAT2 enhances the loading of DA, leading to increased DA release (Aguilar 
et al., 2017; Hnasko et al., 2010; H. Shen et al., 2018). Particularly, glutamate would 
enter through VGLUT2, increase the chemical gradient (Trudeau et al., 2014), and 
acidify the inside of the synaptic vesicle. Aguilar and colleagues has confirmed this, 
showing the hyperacidification of DA vesicles in a VGLUT2-dependent manner in mice 
(Aguilar et al., 2017). The increase in the chemical gradient promotes increased loading 
of DA through VMAT2, increasing the concentration and release of DA (Figure 4.6bc) 
(Eskenazi et al., 2021). To date, whether VMAT2 and VGLUT2 are on the same vesicle 
remains controversial (Aguilar et al., 2017; S. Zhang et al., 2015). One study has shown 
that a population of TH+/VGLUT2+ neurons in the VTA contain VMAT2 using PCR (Li et 
al., 2013), and another has shown co-immunoprecipitation of VMAT2 and VGLUT2 in a 
population of striatal synaptic vesicles (Hnasko et al., 2010; H. Shen et al., 2021; Silm et 
al., 2019). In contrast, Zhang and colleagues established that VMAT2 and VGLUT2 tend 
297 
 
to segregate into separate vesicles using immunolabeling, co-immunoprecipitation, and 
ultrastructural analysis in the adult nucleus accumbens (S. Zhang et al., 2015).  
Vesicular synergy and its potential for increased DA packaging and release 
would be an entirely novel explanation that takes into account both DA/glutamate co-
transmission (i.e., VGLUT2) and the DA release correlation we have demonstrated in 
our previous study (Mercado et al., 2021) and in my thesis studies, respectively. For 
confirmation, I endeavored to investigate whether I could find any evidence of VMAT2 
and VGLUT2 co-localization in the TH+ grafted neurons in the BDNF-infused Met/Met 
rats and whether any association with GID existed. I was able to demonstrate using 
triple-label immunohistochemistry, confocal microscopy, and the Imaris imaging 
software the existence of VMAT2/VGLUT2 (presumed) co-localizations in the TH+ 
neurons of DA-grafted Met/Met BDNF-infused rats that demonstrated a slight increase 
in number compared to DA-grafted PBS-infused rats. It is noteworthy that this presumed 
co-localization of VMAT2/VGLUT2 in this treatment group was strongly correlated with 
GID behavior, demonstrating additional favorable evidence that GID behavior may 
indeed be caused by increased DA release mediated by vesicular synergy within grafted 
DA neurons. Nevertheless, additional studies are required to determine undoubtedly 
that these proteins are within the same synaptic vesicle. 
298 
 
 
 
Figure 4.6: Schematic diagram depicting the proposed mechanism of vesicular 
synergy. 
(a) Levodopa taken up into the dopaminergic neuron and converted to dopamine via 
aromatic amino acid decarboxylase (AADC). Normal packaging of dopamine occurs 
here; DA is released into the synapse and activates both D1 and D2 receptors on the 
post-synaptic membrane of MSNs. (b) At baseline, VMAT2 on a DA synaptic vesicle will 
exchange 2 hydrogen ions for one molecule of DA to achieve sufficient DA uptake and 
release. (c) In synaptic vesicles that co-express VMAT2 and VGLUT2, VGLUT2 will 
transport one chlorine and one phosphate ion, acidifying the inside of the vesicle, 
thereby increasing the concentration gradient, and ultimately resulting in the uptake of 
an increased amount of DA molecules via VMAT2. (d) Subsequently, the uptake of more 
dopamine will lead to the increased dopamine release from these VMAT2/VGLUT2 
vesicles. Adapted from (Eskenazi et al., 2021).   
299 
 
 
 
 
Although I recognize that there has been conflicting evidence of both the co-
localization of DA/glutamate co-release in the dorsal striatum (responsible for motor 
behavior) and the co-localization of VMAT2/VGLUT2 on the same vesicle, it is not yet 
possible to exclude the possibility that both exist in the context of neural grafting in our 
experiments. No other group has investigated these phenomena in a grafted rs6265 
Met/Met parkinsonian rat, or in other models of DA neuron grafting, to the best of my 
knowledge. Our behavioral results and postmortem analyses are promising evidence in 
support of the theory of vesicular synergy, and vesicular synergy offers a logical 
mechanism responsible for GID behavior, at least in the context of this study. Future 
research further examining the potential for VMAT2/VGLUT2 co-localization are 
warranted and could offer new avenues for therapeutic development to prevent GID in 
patients.  
In addition to evidence of excess DA release and DA/glutamate co-transmission, 
past experiments have also revealed a role of the immune system in GID behavior, 
including a study conducted by our group (see Soderstrom et al., 2008). Grafted 
parkinsonian animals exposed to immune activation exhibited increased GID severity 
compared to non-challenged rats (Soderstrom et al., 2008). In the clinic, patients who 
underwent withdrawal of immunosuppression (Hagell & Cenci, 2005; Olanow et al., 
2003) or did not receive immunosuppression (Freed et al., 2001) developed GID 
behavior. Therefore, we considered the presence of the immune markers Iba1 
(microglia) and GFAP (astrocytes). Grafted BDNF-infused parkinsonian rats showed an 
increase in expression of Iba1 in comparison to grafted PBS-infused animals but no 
differences in GFAP expression. Notably, there was no correlation between Iba1 
300 
 
expression and GID in these animals. Nevertheless, this does not mean the immune 
system does not play a role in GID development. Future studies warrant analysis of 
additional immune markers and could also take into account activated versus 
inactivated microglia and morphology. Furthermore, it would have been advantageous 
to examine postmortem tissue immediately following cessation of BDNF infusion instead 
of at the end of 10 weeks post-engraftment, although resources were not available to 
investigate this for my thesis studies. GID severity differences were more prominent 
between treatment groups at week five post-engraftment, and acute effects of BDNF on 
these immune markers could have been more apparent at this timepoint. Lastly, studies 
directly assessing the association between GID development and immune suppression 
are needed to definitively confirm the role of the immune system, and more importantly, 
how to abate these factors to allow neural grafting to become a more uniformly effective 
therapy option. 
Our current study has demonstrated that exogenous BDNF treatment does not 
induce maturation of DA neuron transplants and would not be a safe and/or efficacious 
solution in the clinic to prevent GID as a side effect for grafted parkinsonian patients. In 
spite of this, we did, however, present evidence that confirms the clinical GID 
pharmacotherapy (i.e., buspirone) and offers great promise for the role of excess DA 
release and/or vesicular synergy underlying GID behavior. Collectively, these results 
provide a foundation for an abundance of future investigations. Furthermore, as the 
colocalization of VMAT2/VGLUT2 can only be presumed, additional methods (e.g., 
proximity ligation assays, ultrastructural analysis) will be necessary to prove, without a 
doubt, that these proteins are indeed co-localized together on the same synaptic 
301 
 
vesicle. Keeping the current precision-medicine climate in mind, these experiments, 
along with our other studies, continue to provide a convincing argument for genotyping 
patients prior to their participation in cell transplantation trials for PD. 
302 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
BIBLIOGRAPHY 
Adachi, N., Kohara, K., & Tsumoto, T. (2005). Difference in trafficking of brain-derived 
neurotrophic factor between axons and dendrites of cortical neurons, revealed by 
live-cell imaging. BMC Neuroscience, 6. https://doi.org/10.1186/1471-2202-6-42 
Aguilar, J. I., Dunn, M., Mingote, S., Karam, C. S., Farino, Z. J., Sonders, M. S., Choi, S. 
J., Grygoruk, A., Zhang, Y., Cela, C., Choi, B. J., Flores, J., Freyberg, R. J., 
McCabe, B. D., Mosharov, E. V., Krantz, D. E., Javitch, J. A., Sulzer, D., Sames, 
D., … Freyberg, Z. (2017). Neuronal Depolarization Drives Increased Dopamine 
Synaptic Vesicle Loading via VGLUT. Neuron, 95(5), 1074-1088.e7. 
https://doi.org/10.1016/j.neuron.2017.07.038 
Alhadidi, Q. M., Bahader, G. A., Arvola, O., Kitchen, P., Shah, Z. A., & Salman, M. M. 
(2024). Astrocytes in functional recovery following central nervous system injuries. 
The Journal of Physiology, 602(13), 3069–3096. https://doi.org/10.1113/JP284197 
Altar, C. A., Boylan, C. B., Fritsche, M., Jones, B. E., Jackson, C., Wiegand, S. J., 
Lindsay, R. M., & Hyman, C. (1994). Efficacy of Brain‐Derived Neurotrophic Factor 
and Neurotrophin‐3 on Neurochemical and Behavioral Deficits Associated with 
Partial Nigrostriatal Dopamine Lesions. Journal of Neurochemistry, 63(3). 
https://doi.org/10.1046/j.1471-4159.1994.63031021.x 
Altar, C. A., Boylan, C. B., Jackson, C., Hershenson, S., Miller, J., Wiegand, S. J., 
Lindsay, R. M., & Hyman, C. (1992). Brain-derived neurotrophic factor augments 
rotational behavior and nigrostriatal dopamine turnover in vivo. Proceedings of the 
National Academy of Sciences of the United States of America, 89(23). 
https://doi.org/10.1073/pnas.89.23.11347 
Baquet, Z. C., Bickford, P. C., & Jones, K. R. (2005). Brain-derived neurotrophic factor 
is required for the establishment of the proper number of dopaminergic neurons in 
the substantia nigra pars compacta. Journal of Neuroscience, 25(26). 
https://doi.org/10.1523/JNEUROSCI.4601-04.2005 
Barde, Y. A., Edgar, D., & Thoenen, H. (1982). Purification of a new neurotrophic factor 
from mammalian brain. The EMBO Journal, 1(5). https://doi.org/10.1002/j.1460-
2075.1982.tb01207.x 
Barker, R. A., Björklund, A., & Parmar, M. (2024). The history and status of dopamine 
cell therapies for Parkinson’s disease. BioEssays. 
https://doi.org/10.1002/bies.202400118 
Barker, R. A., Farrell, K., Guzman, N. V., He, X., Lazic, S. E., Moore, S., Morris, R., 
Tyers, P., Wijeyekoon, R., Daft, D., Hewitt, S., Dayal, V., Foltynie, T., Kefalopoulou, 
Z., Mahlknecht, P., Lao-Kaim, N. P., Piccini, P., Bjartmarz, H., Björklund, A., … 
Winkler, C. (2019). Designing stem-cell-based dopamine cell replacement trials for 
Parkinson’s disease. Nature Medicine, 25(7), 1045–1053. 
303 
 
https://doi.org/10.1038/s41591-019-0507-2 
Beck, K. D., Knüsel, B., & Hefti, F. (1993). The nature of the trophic action of brain-
derived neurotrophic factor, des(1-3)-insulin-like growth FACTOR-1, and basic 
fibroblast growth factor on mesencephalic dopaminergic neurons developing in 
culture. Neuroscience, 52(4), 855–866. https://doi.org/10.1016/0306-
4522(93)90534-M 
Bérubé‐Carrière, N., Riad, M., Dal Bo, G., Lévesque, D., Trudeau, L., & Descarries, L. 
(2009). The dual dopamine‐glutamate phenotype of growing mesencephalic 
neurons regresses in mature rat brain. Journal of Comparative Neurology, 517(6), 
873–891. https://doi.org/10.1002/cne.22194 
Björklund, A., & Lindvall, O. (2017). Replacing Dopamine Neurons in Parkinson’s 
Disease: How did it happen? In Journal of Parkinson’s Disease (Vol. 7, Issue s1). 
https://doi.org/10.3233/JPD-179002 
Blöchl, A., & Sirrenberg, C. (1996). Neurotrophins Stimulate the Release of Dopamine 
from Rat Mesencephalic Neurons via Trk and p75Lntr Receptors. Journal of 
Biological Chemistry, 271(35), 21100–21107. 
https://doi.org/10.1074/jbc.271.35.21100 
Bosse, K. E., Maina, F. K., Birbeck, J. A., France, M. M., Roberts, J. J. P., Colombo, M. 
L., & Mathews, T. A. (2012). Aberrant striatal dopamine transmitter dynamics in 
brain‐derived neurotrophic factor‐deficient mice. Journal of Neurochemistry, 120(3), 
385–395. https://doi.org/10.1111/j.1471-4159.2011.07531.x 
Buck, S. A., Erickson-Oberg, M. Q., Bhatte, S. H., McKellar, C. D., Ramanathan, V. P., 
Rubin, S. A., & Freyberg, Z. (2022). Roles of VGLUT2 and Dopamine/Glutamate 
Co-Transmission in Selective Vulnerability to Dopamine Neurodegeneration. ACS 
Chemical Neuroscience, 13(2), 187–193. 
https://doi.org/10.1021/acschemneuro.1c00741 
Buck, S. A., Torregrossa, M. M., Logan, R. W., & Freyberg, Z. (2021). Roles of 
dopamine and glutamate co‐release in the nucleus accumbens in mediating the 
actions of drugs of abuse. The FEBS Journal, 288(5), 1462–1474. 
https://doi.org/10.1111/febs.15496 
Caulfield, M. E., Stancati, J. A., & Steece-Collier, K. (2021). Induction and Assessment 
of Levodopa-induced Dyskinesias in a Rat Model of Parkinson’s Disease. Journal 
of Visualized Experiments, 176. https://doi.org/10.3791/62970-v 
Collier, T. J., O’Malley, J., Rademacher, D. J., Stancati, J. A., Sisson, K. A., Sortwell, C. 
E., Paumier, K. L., Gebremedhin, K. G., & Steece-Collier, K. (2015). Interrogating 
the aged striatum: Robust survival of grafted dopamine neurons in aging rats 
produces inferior behavioral recovery and evidence of impaired integration. 
Neurobiology of Disease, 77. https://doi.org/10.1016/j.nbd.2015.03.005 
304 
 
Collier, T. J., Sortwell, C. E., & Daley, B. F. (1999). Diminished Viability, Growth, and 
Behavioral Efficacy of Fetal Dopamine Neuron Grafts in Aging Rats with Long-Term 
Dopamine Depletion: An Argument for Neurotrophic Supplementation. The Journal 
of Neuroscience, 19(13), 5563–5573. https://doi.org/10.1523/JNEUROSCI.19-13-
05563.1999 
Collier, T. J., Sortwell, C. E., Mercado, N. M., & Steece-Collier, K. (2019). Cell therapy 
for Parkinson’s disease: Why it doesn’t work every time. Movement Disorders, 
34(8). https://doi.org/10.1002/mds.27742 
Dal Bo, G., St‐Gelais, F., Danik, M., Williams, S., Cotton, M., & Trudeau, L. (2004). 
Dopamine neurons in culture express VGLUT2 explaining their capacity to release 
glutamate at synapses in addition to dopamine. Journal of Neurochemistry, 88(6), 
1398–1405. https://doi.org/10.1046/j.1471-4159.2003.02277.x 
Dunnett, S. B., & Torres, E. M. (2011). Rotation in the 6-OHDA-Lesioned Rat (pp. 299–
315). https://doi.org/10.1007/978-1-61779-298-4_15 
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., 
Zaitsev, E., Gold, B., Goldman, D., Dean, M., Lu, B., & Weinberger, D. R. (2003). 
The BDNF val66met polymorphism affects activity-dependent secretion of BDNF 
and human memory and hippocampal function. Cell, 112(2). 
https://doi.org/10.1016/S0092-8674(03)00035-7 
El Mestikawy, S., Wallén-Mackenzie, Å., Fortin, G. M., Descarries, L., & Trudeau, L. E. 
(2011). From glutamate co-release to vesicular synergy: Vesicular glutamate 
transporters. In Nature Reviews Neuroscience (Vol. 12, Issue 4). 
https://doi.org/10.1038/nrn2969 
Eskenazi, D., Malave, L., Mingote, S., Yetnikoff, L., Ztaou, S., Velicu, V., Rayport, S., & 
Chuhma, N. (2021). Dopamine Neurons That Cotransmit Glutamate, From 
Synapses to Circuits to Behavior. Frontiers in Neural Circuits, 15. 
https://doi.org/10.3389/fncir.2021.665386 
Espay, A. J., Brundin, P., & Lang, A. E. (2017). Precision medicine for disease 
modification in Parkinson disease. Nature Reviews Neurology, 13(2), 119–126. 
https://doi.org/10.1038/nrneurol.2016.196 
Fischer, D. L., Auinger, P., Goudreau, J. L., Cole-Strauss, A., Kieburtz, K., Elm, J. J., 
Hacker, M. L., Charles, P. D., Lipton, J. W., Pickut, B. A., & Sortwell, C. E. (2020). 
BDNF rs6265 Variant Alters Outcomes with Levodopa in Early-Stage Parkinson’s 
Disease. Neurotherapeutics, 17(4). https://doi.org/10.1007/s13311-020-00965-9 
Fischer, D. L., Auinger, P., Goudreau, J. L., Paumier, K. L., Cole-Strauss, A., Kemp, C. 
J., Lipton, J. W., & Sortwell, C. E. (2018). Bdnf variant is associated with milder 
motor symptom severity in early-stage Parkinson’s disease. Parkinsonism and 
Related Disorders, 53. https://doi.org/10.1016/j.parkreldis.2018.05.003 
305 
 
Fortin, G. M., Ducrot, C., Giguère, N., Kouwenhoven, W. M., Bourque, M.-J., Pacelli, C., 
Varaschin, R. K., Brill, M., Singh, S., Wiseman, P. W., & Trudeau, L.-É. (2019). 
Segregation of dopamine and glutamate release sites in dopamine neuron axons: 
regulation by striatal target cells. The FASEB Journal, 33(1), 400–417. 
https://doi.org/10.1096/fj.201800713RR 
Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R., Dillon, 
S., Winfield, H., Culver, S., Trojanowski, J. Q., Eidelberg, D., & Fahn, S. (2001). 
Transplantation of Embryonic Dopamine Neurons for Severe Parkinson’s Disease. 
New England Journal of Medicine, 344(10). 
https://doi.org/10.1056/nejm200103083441002 
Gerfen, C. R., & Surmeier, D. J. (2011). Modulation of Striatal Projection Systems by 
Dopamine. Annual Review of Neuroscience, 34(1), 441–466. 
https://doi.org/10.1146/annurev-neuro-061010-113641 
Giovannoni, F., & Quintana, F. J. (2020). The Role of Astrocytes in CNS Inflammation. 
Trends in Immunology, 41(9), 805–819. https://doi.org/10.1016/j.it.2020.07.007 
Goggi, J., Pullar, I. A., Carney, S. L., & Bradford, H. F. (2002). Modulation of 
neurotransmitter release induced by brain-derived neurotrophic factor in rat brain 
striatal slices in vitro. Brain Research, 941(1–2), 34–42. 
https://doi.org/10.1016/S0006-8993(02)02505-2 
Gombash, S. E., Manfredsson, F. P., Mandel, R. J., Collier, T. J., Fischer, D. L., Kemp, 
C. J., Kuhn, N. M., Wohlgenant, S. L., Fleming, S. M., & Sortwell, C. E. (2014). 
Neuroprotective potential of pleiotrophin overexpression in the striatonigral pathway 
compared with overexpression in both the striatonigral and nigrostriatal pathways. 
Gene Therapy, 21(7), 682–693. https://doi.org/10.1038/gt.2014.42 
Gonzalez, A., Moya-Alvarado, G., Gonzalez-Billaut, C., & Bronfman, F. C. (2016). 
Cellular and molecular mechanisms regulating neuronal growth by brain-derived 
neurotrophic factor. In Cytoskeleton (Vol. 73, Issue 10). 
https://doi.org/10.1002/cm.21312 
Gras, C., Amilhon, B., Lepicard, È. M., Poirel, O., Vinatier, J., Herbin, M., Dumas, S., 
Tzavara, E. T., Wade, M. R., Nomikos, G. G., Hanoun, N., Saurini, F., Kemel, M.-L., 
Gasnier, B., Giros, B., & Mestikawy, S. El. (2008). The vesicular glutamate 
transporter VGLUT3 synergizes striatal acetylcholine tone. Nature Neuroscience, 
11(3), 292–300. https://doi.org/10.1038/nn2052 
Hagell, P., & Cenci, M. A. (2005). Dyskinesias and dopamine cell replacement in 
Parkinson’s disease: A clinical perspective. Brain Research Bulletin, 68(1–2). 
https://doi.org/10.1016/j.brainresbull.2004.10.013 
Hagell, P., Piccini, P., Björklund, A., Brundin, P., Rehncrona, S., Widner, H., Crabb, L., 
Pavese, N., Oertel, W. H., Quinn, N., Brooks, D. J., & Lindvall, O. (2002). 
Dyskinesias following neural transplantation in parkinson’s disease. Nature 
306 
 
Neuroscience, 5(7). https://doi.org/10.1038/nn863 
Hauser, R. A., Auinger, P., & Oakes, D. (2009). Levodopa response in early Parkinson’s 
disease. Movement Disorders, 24(16). https://doi.org/10.1002/mds.22759 
Hnasko, T. S., Chuhma, N., Zhang, H., Goh, G. Y., Sulzer, D., Palmiter, R. D., Rayport, 
S., & Edwards, R. H. (2010). Vesicular Glutamate Transport Promotes Dopamine 
Storage and Glutamate Corelease In Vivo. Neuron, 65(5), 643–656. 
https://doi.org/10.1016/j.neuron.2010.02.012 
Hyman, C., Hofer, M., Barde, Y. A., Juhasz, M., Yancopoulos, G. D., Squinto, S. P., & 
Lindsay, R. M. (1991). BDNF is a neurotrophic factor for dopaminergic neurons of 
the substantia nigra. Nature, 350(6315). https://doi.org/10.1038/350230a0 
Kawano, M., Kawasaki, A., Sakata‐Haga, H., Fukui, Y., Kawano, H., Nogami, H., & 
Hisano, S. (2006). Particular subpopulations of midbrain and hypothalamic 
dopamine neurons express vesicular glutamate transporter 2 in the rat brain. 
Journal of Comparative Neurology, 498(5), 581–592. 
https://doi.org/10.1002/cne.21054 
Kellner, Y., Gödecke, N., Dierkes, T., Thieme, N., Zagrebelsky, M., & Korte, M. (2014). 
The BDNF effects on dendritic spines of mature hippocampal neurons depend on 
neuronal activity. Frontiers in Synaptic Neuroscience, 6. 
https://doi.org/10.3389/fnsyn.2014.00005 
Knüsel, B., Winslow, J. W., Rosenthal, A., Burton, L. E., Seid, D. P., Nikolics, K., & 
Hefti, F. (1991). Promotion of central cholinergic and dopaminergic neuron 
differentiation by brain-derived neurotrophic factor but not neurotrophin 3. 
Proceedings of the National Academy of Sciences, 88(3), 961–965. 
https://doi.org/10.1073/pnas.88.3.961 
Kordower, J. H., Rosenstein, J. M., Collier, T. J., Burke, M. A., Chen, E.-Y., Li, J. M., 
Martel, L., Levey, A. E., Mufson, E. J., Freeman, T. B., & Olanow, C. W. (1996). 
Functional fetal nigral grafts in a patient with Parkinson’s disease: Chemoanatomic, 
ultrastructural, and metabolic studies. The Journal of Comparative Neurology, 
370(2), 203–230. https://doi.org/10.1002/(SICI)1096-
9861(19960624)370:2<203::AID-CNE6>3.0.CO;2-6 
Kowiański, P., Lietzau, G., Czuba, E., Waśkow, M., Steliga, A., & Moryś, J. (2018). 
BDNF: A Key Factor with Multipotent Impact on Brain Signaling and Synaptic 
Plasticity. In Cellular and Molecular Neurobiology (Vol. 38, Issue 3). 
https://doi.org/10.1007/s10571-017-0510-4 
Lai, K. O., & Ip, N. Y. (2013). Structural plasticity of dendritic spines: The underlying 
mechanisms and its dysregulation in brain disorders. In Biochimica et Biophysica 
Acta - Molecular Basis of Disease (Vol. 1832, Issue 12). 
https://doi.org/10.1016/j.bbadis.2013.08.012 
307 
 
Lane, E. L., Vercammen, L., Cenci, M. A., & Brundin, P. (2009). Priming for L-DOPA-
induced abnormal involuntary movements increases the severity of amphetamine-
induced dyskinesia in grafted rats. Experimental Neurology, 219(1), 355–358. 
https://doi.org/10.1016/j.expneurol.2009.04.010 
Lane, E. L., Winkler, C., Brundin, P., & Cenci, M. A. (2006). The impact of graft size on 
the development of dyskinesia following intrastriatal grafting of embryonic 
dopamine neurons in the rat. Neurobiology of Disease, 22(2). 
https://doi.org/10.1016/j.nbd.2005.11.011 
Lee, C. S., Cenci, M. A., Schulzer, M., & Björklund, A. (2000). Embryonic ventral 
mesencephalic grafts improve levodopa-induced dyskinesia in a rat model of 
Parkinson’s disease. Brain, 123(7). https://doi.org/10.1093/brain/123.7.1365 
Li, X., Qi, J., Yamaguchi, T., Wang, H.-L., & Morales, M. (2013). Heterogeneous 
composition of dopamine neurons of the rat A10 region: molecular evidence for 
diverse signaling properties. Brain Structure and Function, 218(5), 1159–1176. 
https://doi.org/10.1007/s00429-012-0452-z 
Lohr, K. M., Masoud, S. T., Salahpour, A., & Miller, G. W. (2017). Membrane 
transporters as mediators of synaptic dopamine dynamics: implications for disease. 
European Journal of Neuroscience, 45(1), 20–33. https://doi.org/10.1111/ejn.13357 
Ma, Y., Feigin, A., Dhawan, V., Fukuda, M., Shi, Q., Greene, P., Breeze, R., Fahn, S., 
Freed, C., & Eidelberg, D. (2002). Dyskinesia after fetal cell transplantation for 
parkinsonism: A PET study. Annals of Neurology, 52(5), 628–634. 
https://doi.org/10.1002/ana.10359 
Mariani, S., Ventriglia, M., Simonelli, I., Bucossi, S., Siotto, M., & R, R. S. (2015). Meta-
Analysis Study on the Role of Bone-Derived Neurotrophic Factor Val66Met 
Polymorphism in Parkinson’s Disease. Rejuvenation Research, 18(1), 40–47. 
https://doi.org/10.1089/rej.2014.1612 
Maries, E., Kordower, J. H., Chu, Y., Collier, T. J., Sortwell, C. E., Olaru, E., Shannon, 
K., & Steece-Collier, K. (2006). Focal not widespread grafts induce novel dyskinetic 
behavior in parkinsonian rats. Neurobiology of Disease, 21(1). 
https://doi.org/10.1016/j.nbd.2005.07.002 
Maserejian, N., Vinikoor-Imler, L., & Dilley, A. (2020). Estimation of the 2020 global 
population of Parkinson’s disease (PD). Movement Disorders, 35, S79–S80. 
Mercado, N. M., Stancati, J. A., Sortwell, C. E., Mueller, R. L., Boezwinkle, S. A., Duffy, 
M. F., Fischer, D. L., Sandoval, I. M., Manfredsson, F. P., Collier, T. J., & Steece-
Collier, K. (2021). The BDNF Val66Met polymorphism (rs6265) enhances 
dopamine neuron graft efficacy and side-effect liability in rs6265 knock-in rats. 
Neurobiology of Disease, 148. https://doi.org/10.1016/j.nbd.2020.105175 
Mercado, N. M., Szarowicz, C., Stancati, J. A., Sortwell, C. E., Boezwinkle, S. A., 
308 
 
Collier, T. J., Caulfield, M. E., & Steece-Collier, K. (2024). Advancing age and the 
rs6265 BDNF SNP are permissive to graft-induced dyskinesias in parkinsonian 
rats. Npj Parkinson’s Disease, 10(1), 163. https://doi.org/10.1038/s41531-024-
00771-6 
Mingote, S., Amsellem, A., Kempf, A., Rayport, S., & Chuhma, N. (2019). Dopamine-
glutamate neuron projections to the nucleus accumbens medial shell and 
behavioral switching. Neurochemistry International, 129, 104482. 
https://doi.org/10.1016/j.neuint.2019.104482 
Morales, M., & Root, D. H. (2014). Glutamate neurons within the midbrain dopamine 
regions. Neuroscience, 282, 60–68. 
https://doi.org/10.1016/j.neuroscience.2014.05.032 
Olanow, C. W., Goetz, C. G., Kordower, J. H., Stoessl, A. J., Sossi, V., Brin, M. F., 
Shannon, K. M., Nauert, G. M., Perl, D. P., Godbold, J., & Freeman, T. B. (2003). A 
double-blind controlled trial of bilateral fetal nigral transplantation in Parkinson’s 
disease. Annals of Neurology, 54(3). https://doi.org/10.1002/ana.10720 
Olanow, C. W., Kordower, J. H., Lang, A. E., & Obeso, J. A. (2009). Dopaminergic 
transplantation for Parkinson’s disease: Current status and future prospects. In 
Annals of Neurology (Vol. 66, Issue 5). https://doi.org/10.1002/ana.21778 
Pagano, G., Niccolini, F., & Politis, M. (2018). The serotonergic system in Parkinson’s 
patients with dyskinesia: evidence from imaging studies. Journal of Neural 
Transmission, 125(8), 1217–1223. https://doi.org/10.1007/s00702-017-1823-7 
Paredes, D., Granholm, A.-C., & Bickford, P. C. (2007). Effects of NGF and BDNF on 
baseline glutamate and dopamine release in the hippocampal formation of the adult 
rat. Brain Research, 1141, 56–64. https://doi.org/10.1016/j.brainres.2007.01.018 
Park, H., & Poo, M. M. (2013). Neurotrophin regulation of neural circuit development 
and function. In Nature Reviews Neuroscience (Vol. 14, Issue 1). 
https://doi.org/10.1038/nrn3379 
Parmar, M., Grealish, S., & Henchcliffe, C. (2020). The future of stem cell therapies for 
Parkinson disease. Nature Reviews Neuroscience, 21(2), 103–115. 
https://doi.org/10.1038/s41583-019-0257-7 
Petryshen, T. L., Sabeti, P. C., Aldinger, K. A., Fry, B., Fan, J. B., Schaffner, S. F., 
Waggoner, S. G., Tahl, A. R., & Sklar, P. (2010). Population genetic study of the 
brain-derived neurotrophic factor (BDNF) gene. Molecular Psychiatry, 15(8). 
https://doi.org/10.1038/mp.2009.24 
Piccini, P., Brooks, D. J., Björklund, A., Gunn, R. N., Grasby, P. M., Rimoldi, O., 
Brundin, P., Hagell, P., Rehncrona, S., Widner, H., & Lindvall, O. (1999). Dopamine 
release from nigral transplants visualized in vivo in a Parkinson’s patient. Nature 
Neuroscience, 2(12), 1137–1140. https://doi.org/10.1038/16060 
309 
 
Politis, M. (2010). Dyskinesias after neural transplantation in Parkinson’s disease: What 
do we know and what is next? In BMC Medicine (Vol. 8). 
https://doi.org/10.1186/1741-7015-8-80 
Politis, M., Oertel, W. H., Wu, K., Quinn, N. P., Pogarell, O., Brooks, D. J., Bjorklund, A., 
Lindvall, O., & Piccini, P. (2011). Graft‐induced dyskinesias in Parkinson’s disease: 
High striatal serotonin/dopamine transporter ratio. Movement Disorders, 26(11), 
1997–2003. https://doi.org/10.1002/mds.23743 
Quintino, L., Gubinelli, F., Sarauskyte, L., Arvidsson, E., Davidsson, M., Lundberg, C., & 
Heuer, A. (2022). Automated quantification of neuronal swellings in a preclinical 
rodent model of Parkinson’s disease detects region-specific changes in pathology. 
Journal of Neuroscience Methods, 378, 109640. 
https://doi.org/10.1016/j.jneumeth.2022.109640 
Root, D. H., Wang, H.-L., Liu, B., Barker, D. J., Mód, L., Szocsics, P., Silva, A. C., 
Maglóczky, Z., & Morales, M. (2016). Glutamate neurons are intermixed with 
midbrain dopamine neurons in nonhuman primates and humans. Scientific Reports, 
6(1), 30615. https://doi.org/10.1038/srep30615 
Sasi, M., Vignoli, B., Canossa, M., & Blum, R. (2017). Neurobiology of local and 
intercellular BDNF signaling. In Pflugers Archiv : European journal of physiology 
(Vol. 469, Issues 5–6). https://doi.org/10.1007/s00424-017-1964-4 
Schalkamp, A.-K., Rahman, N., Monzón-Sandoval, J., & Sandor, C. (2022). Deep 
phenotyping for precision medicine in Parkinson’s disease. Disease Models & 
Mechanisms, 15(6). https://doi.org/10.1242/dmm.049376 
Shen, H., Chen, K., Marino, R. A. M., McDevitt, R. A., & Xi, Z.-X. (2021). Deletion of 
VGLUT2 in midbrain dopamine neurons attenuates dopamine and glutamate 
responses to methamphetamine in mice. Pharmacology Biochemistry and 
Behavior, 202, 173104. https://doi.org/10.1016/j.pbb.2021.173104 
Shen, H., Marino, R. A. M., McDevitt, R. A., Bi, G.-H., Chen, K., Madeo, G., Lee, P.-T., 
Liang, Y., De Biase, L. M., Su, T.-P., Xi, Z.-X., & Bonci, A. (2018). Genetic deletion 
of vesicular glutamate transporter in dopamine neurons increases vulnerability to 
MPTP-induced neurotoxicity in mice. Proceedings of the National Academy of 
Sciences, 115(49). https://doi.org/10.1073/pnas.1800886115 
Shen, R. Y., Altar, C. A., & Chiodo, L. A. (1994). Brain-derived neurotrophic factor 
increases the electrical activity of pars compacta dopamine neurons in vivo. 
Proceedings of the National Academy of Sciences, 91(19), 8920–8924. 
https://doi.org/10.1073/pnas.91.19.8920 
Shen, T., You, Y., Joseph, C., Mirzaei, M., Klistorner, A., Graham, S. L., & Gupta, V. 
(2018). BDNF polymorphism: A review of its diagnostic and clinical relevance in 
neurodegenerative disorders. In Aging and Disease (Vol. 9, Issue 3). 
https://doi.org/10.14336/AD.2017.0717 
310 
 
Shen, W., Plokin, J. L., Zhai, S., & Surmeier, D. J. (2016). Dopaminergic Modulation of 
Glutamatergic Signaling in Striatal Spiny Projection Neurons (pp. 179–196). 
https://doi.org/10.1016/B978-0-12-802206-1.00009-X 
Shin, E., Garcia, J., Winkler, C., Björklund, A., & Carta, M. (2012). Serotonergic and 
dopaminergic mechanisms in graft-induced dyskinesia in a rat model of Parkinson’s 
disease. Neurobiology of Disease, 47(3). https://doi.org/10.1016/j.nbd.2012.03.038 
Silm, K., Yang, J., Marcott, P. F., Asensio, C. S., Eriksen, J., Guthrie, D. A., Newman, A. 
H., Ford, C. P., & Edwards, R. H. (2019). Synaptic Vesicle Recycling Pathway 
Determines Neurotransmitter Content and Release Properties. Neuron, 102(4), 
786-800.e5. https://doi.org/10.1016/j.neuron.2019.03.031 
Smith, G. A., Heuer, A., Klein, A., Vinh, N. N., Dunnett, S. B., & Lane, E. L. (2012). 
Amphetamine-induced dyskinesia in the transplanted hemi-parkinsonian mouse. 
Journal of Parkinson’s Disease, 2(2). https://doi.org/10.3233/JPD-2012-12102 
Soderstrom, K. E., Meredith, G., Freeman, T. B., McGuire, S. O., Collier, T. J., Sortwell, 
C. E., Wu, Q., & Steece-Collier, K. (2008). The synaptic impact of the host immune 
response in a parkinsonian allograft rat model: Influence on graft-derived aberrant 
behaviors. Neurobiology of Disease, 32(2). 
https://doi.org/10.1016/j.nbd.2008.06.018 
Soderstrom, K. E., O’Malley, J. A., Levine, N. D., Sortwell, C. E., Collier, T. J., & Steece-
Collier, K. (2010). Impact of dendritic spine preservation in medium spiny neurons 
on dopamine graft efficacy and the expression of dyskinesias in parkinsonian rats. 
European Journal of Neuroscience, 31(3). https://doi.org/10.1111/j.1460-
9568.2010.07077.x 
Sortwell, C. E., Hacker, M. L., Fischer, D. L., Konrad, P. E., Davis, T. L., Neimat, J. S., 
Wang, L., Song, Y., Mattingly, Z. R., Cole-Strauss, A., Lipton, J. W., & Charles, P. 
D. (2022). BDNF rs6265 Genotype Influences Outcomes of Pharmacotherapy and 
Subthalamic Nucleus Deep Brain Stimulation in Early-Stage Parkinson’s Disease. 
Neuromodulation: Technology at the Neural Interface, 25(6), 846–853. 
https://doi.org/10.1111/ner.13504 
Steece-Collier, K., Collier, T. J., Sladek, C. D., & Sladek, J. R. (1990). Chronic levodopa 
impairs morphological development of grafted embryonic dopamine neurons. 
Experimental Neurology, 110(2), 201–208. https://doi.org/10.1016/0014-
4886(90)90031-M 
Steece-Collier, K., Rademacher, D. J., & Soderstrom, K. E. (2012). Anatomy of graft-
induced dyskinesias: Circuit remodeling in the parkinsonian striatum. In Basal 
Ganglia (Vol. 2, Issue 1). https://doi.org/10.1016/j.baga.2012.01.002 
Stoker, T. B., & Barker, R. A. (2020). Recent developments in the treatment of 
Parkinson’s Disease. F1000Research, 9, 862. 
https://doi.org/10.12688/f1000research.25634.1 
311 
 
Stoker, T. B., Blair, N. F., & Barker, R. A. (2017). Neural grafting for Parkinson’s 
disease: Challenges and prospects. In Neural Regeneration Research (Vol. 12, 
Issue 3). https://doi.org/10.4103/1673-5374.202935 
Sulzer, D., Joyce, M. P., Lin, L., Geldwert, D., Haber, S. N., Hattori, T., & Rayport, S. 
(1998). Dopamine Neurons Make Glutamatergic Synapses In Vitro. The Journal of 
Neuroscience, 18(12), 4588–4602. https://doi.org/10.1523/JNEUROSCI.18-12-
04588.1998 
Tanaka, T., Narazaki, M., & Kishimoto, T. (2014). IL-6 in Inflammation, Immunity, and 
Disease. Cold Spring Harbor Perspectives in Biology, 6(10), a016295–a016295. 
https://doi.org/10.1101/cshperspect.a016295 
Tremblay, M.-È., Stevens, B., Sierra, A., Wake, H., Bessis, A., & Nimmerjahn, A. 
(2011). The Role of Microglia in the Healthy Brain: Figure 1. The Journal of 
Neuroscience, 31(45), 16064–16069. https://doi.org/10.1523/JNEUROSCI.4158-
11.2011 
Trudeau, L.-E., Hnasko, T. S., Wallén-Mackenzie, Å., Morales, M., Rayport, S., & 
Sulzer, D. (2014). The multilingual nature of dopamine neurons (pp. 141–164). 
https://doi.org/10.1016/B978-0-444-63425-2.00006-4 
Tsai, S. J. (2018). Critical issues in BDNF Val66met genetic studies of neuropsychiatric 
disorders. In Frontiers in Molecular Neuroscience (Vol. 11). 
https://doi.org/10.3389/fnmol.2018.00156 
Yamaguchi, T., Qi, J., Wang, H., Zhang, S., & Morales, M. (2015). Glutamatergic and 
dopaminergic neurons in the mouse ventral tegmental area. European Journal of 
Neuroscience, 41(6), 760–772. https://doi.org/10.1111/ejn.12818 
Yurek, D. M. (1998). Optimal effectiveness of BDNF for fetal nigral transplants coincides 
with the ontogenic appearance of BDNF in the striatum. Journal of Neuroscience, 
18(15). https://doi.org/10.1523/jneurosci.18-15-06040.1998 
Yurek, D. M., Lu, W., Hipkens, S., & Wiegand, S. J. (1996). BDNF enhances the 
functional reinnervation of the striatum by grafted fetal dopamine neurons. 
Experimental Neurology, 137(1). https://doi.org/10.1006/exnr.1996.0011 
Zagrebelsky, M., Tacke, C., & Korte, M. (2020). BDNF signaling during the lifetime of 
dendritic spines. In Cell and Tissue Research (Vol. 382, Issue 1). 
https://doi.org/10.1007/s00441-020-03226-5 
Zhang, J., Yu, Z., Yu, Z., Yang, Z., Zhao, H., Liu, L., & Zhao, J. (2011). rAAV-mediated 
delivery of brain-derived neurotrophic factor promotes neurite outgrowth and 
protects neurodegeneration in focal ischemic model. International Journal of 
Clinical and Experimental Pathology, 4(5), 496–504. 
Zhang, S., Qi, J., Li, X., Wang, H.-L., Britt, J. P., Hoffman, A. F., Bonci, A., Lupica, C. 
312 
 
R., & Morales, M. (2015). Dopaminergic and glutamatergic microdomains in a 
subset of rodent mesoaccumbens axons. Nature Neuroscience, 18(3), 386–392. 
https://doi.org/10.1038/nn.3945 
Zhu, J., & Reith, M. (2008). Role of the Dopamine Transporter in the Action of 
Psychostimulants, Nicotine, and Other Drugs of Abuse. CNS & Neurological 
Disorders - Drug Targets, 7(5), 393–409. 
https://doi.org/10.2174/187152708786927877 
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CHAPTER 5: FUTURE DIRECTIONS AND CONCLUDING REMARKS 
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Parkinson’s disease (PD) is a relentlessly progressive neurodegenerative 
disorder that continues to negatively affect society. As we continue to study PD, the 
leading consensus is that PD is not a unitary disease entity; it is instead a multifaceted 
clinical syndrome with complex, heterogeneous etiologies. In this way, safe, efficacious 
treatments have been considerably difficult to develop. Indeed, as has been discussed 
at length in this thesis, several available therapeutic options are prescribed to treat PD, 
yet patient responsiveness is not uniform (Bove & Calabresi, 2022; Fabbri et al., 2016; 
Varanese et al., 2010), and even the best therapies have incomplete and/or limited 
lasting benefit. Most notably, with levodopa treatment, significant heterogeneity remains, 
both in clinical benefit and in the development of levodopa-induced dyskinesia (LID). As 
a beacon of hope, various experimental procedures are being examined as potential 
alternatives to the current dopamine (DA)-replacement strategies. Some examples 
include developing extended-release agents to achieve long-acting levodopa release 
and creating gene-therapy agents that target α-synuclein pathology. Arguably one of the 
most promising is the focus of my thesis work—regenerative neural cell replacement 
therapy. While cell therapy is not, nor will ever be, considered a “cure” for PD, scientists 
and clinicians have endeavored to optimize neural transplantation as a one-time 
procedure that will offer symptomatic relief for individuals with PD for decades to come 
(Barker et al., 2024). 
In the following sections, I will discuss the key findings from my dissertation 
research and how these findings positively contribute to the field of neural 
transplantation for PD. Moreover, I will discuss limitations and potential caveats of my 
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studies, and I will share additional insight into how evidence collected here provides a 
strong foundation for the continuation of this research.  
USING PRECISION MEDICINE TO GARNER MECHANISTIC INSIGHTS INTO GID 
BEHAVIOR 
To date, the underlying cause of the aberrant side effect, graft-induced 
dyskinesia (GID), in response to neural transplantation of replacement DA neurons into 
the parkinsonian striatum remains elusive. Upon the conclusion of two clinical grafting 
trials funded by the NIH in the early 2000s, clinicians discovered this novel dyskinetic 
behavior that manifested only in subpopulation of individuals who received primary 
embryonic ventral mesencephalic (eVM) DA grafts (Freed et al., 2001; Olanow et al., 
2003). Consequently, a worldwide mortarium was enacted following these trials as well 
as a clinical trial is Sweden (Hagell et al., 2002), halting all clinical grafting trial for PD 
(Hagell & Cenci, 2005). Now, after rigorous preclinical studies and re-evaluation of 
clinical studies, clinical grafting trials are scheduled or currently ongoing (see Table 1.1 
in Chapter 1 for a comprehensive list). Therefore, our research group has posited that, 
for cell transplantation to be an optimal therapeutic for patients with PD, we must 
investigate and elucidate the heterogeneity, namely GID development, in this 
subpopulation of patients.  
As discussed in previous chapters, we have been studying the common human 
single nucleotide polymorphism (SNP), rs6265, as a potential underlying genetic risk 
factor for the development of GID behavior due to its resultant decrease in activity-
dependent release of BDNF (Egan et al., 2003). Using a CRISPR knock-in parkinsonian 
rat model of the rs6265 SNP (Met/Met), my predecessor, Dr. Natosha Mercado, 
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demonstrated that Met/Met parkinsonian rats paradoxically exhibited enhanced 
functional recovery (i.e., earlier/more robust amelioration of LID behavior) and neurite 
outgrowth following primary eVM transplantation from wild-type (WT; Val/Val) donor 
neurons; however, these animals uniquely developed significant GID behavior 
compared to their WT counterparts (Mercado et al., 2021).  
To complement her findings, I was able to demonstrate that, when additional 
host/donor combinations were studied (i.e., WT and Met/Met hosts engrafted with WT or 
Met/Met donor neurons), the homozygous rs6265 Met/Met genotype retained its 
beneficial functional action compared to the WT genotype, shown by an earlier 
amelioration of LID behavior (Chapter 3). Strikingly, however, I found that Met/Met rats 
engrafted with WT DA neurons were the only host/donor combination to exhibit 
significantly meaningful GID. Based on the similarities in GID induction in this genotypic 
host/donor combination between my study and Dr. Mercado’s, I endeavored to 
investigate underlying mechanisms that may be responsible for this aberrant DA-graft-
mediated behavior.  
In both my in vivo studies, the data suggests that an increase in DA release (i.e., 
DAT expression) was prevalent and positively associated with GID behavior, which 
showed strong statistical significance in the exogenous BDNF supplementation study 
(see Chapter 4). I additionally demonstrated that, inside the grafted DA neurons of the 
BDNF-infused animals, there is (presumed) co-localization of vesicular monoamine 
transporter 2 (VMAT2) and vesicular glutamate transporter 2 (VGLUT2) which 
correlated strongly to GID behavior. This novel finding, again, is suggestive of vesicular 
synergy, which provides a logical explanation for how excess DA release and 
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DA/glutamate co-transmission could both be implicated in GID behavior. This evidence 
does not stand alone: other evidence in favor of excess DA release and/or 
DA/glutamate co-transmission in GID behavior has been collected clinically and 
preclinically. Indeed, fluorodopa positron emission topography (FDOPA PET) scans in 
graft recipients indicated that increases of DA were apparent in patients who exhibited 
GID compared to those who were GID-negative (Ma et al., 2002) (see Chapter 1: 
“Uneven DA reinnervation/DA release”). Shin and colleagues demonstrated that 
pharmacological blockade of D2 receptors using a DA antagonist, buspirone, resulted in 
significantly diminished GID behavior (Shin et al., 2012). Additionally, in the same 
preclinical rat model as my studies, Mercado and colleagues reported an upregulation 
of Drd2 mRNA in the host MSNs of Met/Met rats engrafted with WT DA neurons which 
correlated with GID (Mercado et al., 2024). Lastly, for DA/glutamate co-transmission, 
Met/Met rats exhibited VGLUT2 expression that correlated strongly with GID behavior 
(Mercado et al., 2021). These previous analyses, along with the current evidence I have 
collected, strongly corroborate that there is a link between excess DA release and 
DA/glutamate co-transmission as an underlying mechanism of GID behavior. To the 
best of my knowledge, this is the first study to discover (presumed) co-localization of 
VMAT2 and VGLUT2 in grafted eVM neurons and the theory of vesicular synergy in the 
expression of GID, and therefore, this is an innovative avenue that should be examined 
further.  
While we had hypothesized that BDNF-mediated maturation may be a way to 
prevent GID, it is also important to note that, because exogenous BDNF administration 
exacerbated GID behavior in grafted Met/Met parkinsonian rats, this does not appear to 
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be a safe or effective option to treat GID in grafted patients with PD. For years, BDNF 
administration has been considered a potential neuroprotective agent that could prevent 
the degeneration of nigrostriatal DA neurons (Nagahara & Tuszynski, 2011). Although 
not yet tested clinically in PD, preclinical studies of neurodegenerative and psychiatric 
disorders have utilized intrastriatal injections of viral vectors with the BDNF gene to 
increase BDNF protein production (Chen et al., 2020; Kells et al., 2004) (see Chapter 
2). Engineered fibroblasts that produce BDNF have also been transplanted into the 
brain to study its therapeutic potential (Kells et al., 2004; Levivier et al., 1995). Despite 
some promising reports, it is difficult to tightly regulate gene therapy for BDNF, and 
overproduction can negatively affect host circuitry (Yeom et al., 2016; Zuccato & 
Cattaneo, 2009) (see (Szarowicz et al., 2022) for review). Therefore, until these BDNF 
administration therapies are optimized, and based on the results from my studies, 
supplementing with BDNF cannot be recommended, especially in this context of clinical 
grafting in PD.  
After reviewing the clues assembled from my studies regarding GID behavior, 
along with several other comparable experiments, it is clear there is no “one-size-fits-all” 
approach to effectively treat PD. Ultimately, the conclusions regarding the rs6265 SNP 
provide a compelling argument for implementing a precision-medicine-based approach 
in neural transplantation for PD. Accordingly, Figure 5.1 illustrates a proposed 
precision-based therapeutic approach to prevent and/or treat GID in the context of 
neural transplantation based on the findings discussed above. Specifically, it is 
reasonable to recommend that both the recipient and donor neurons are genotyped for 
the rs6265 SNP as a way of preventing GID development following DA neuron 
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transplantation (Figure 5.1a). Alternatively, in patients who have already received DA 
transplants, and subsequently developed GIDs, various tailored therapeutics, once 
discovered, could be administered to target the underlying mechanisms, therefore 
preventing GID occurrence (Figure 5.1b).  
Figure 5.1: A possible precision-medicine-based therapeutic approach to prevent 
and/or treat GID behavior prior or following DA cell transplantation. 
(a) Prior to grafting, genotyping the human patient and the donor neurons for the rs6265 
SNP, is a recommended precision-based approach aimed at preventing the development 
of GID behavior. Since our previous (Mercado et al., 2021, 2024) and current studies have 
demonstrated  that  the  homozygous  Met/Met  host parkinsonian  rats  engrafted  with  WT 
DA  neurons  uniquely develop  GID  behavior,  preventing  this host/donor  transplantation 
combination would help avoid GID induction in grafted patients with PD. (b) Following cell 
transplantation, several mechanisms that could underlie GID behavior are proposed here 
as  targets.  For  example,  if  excess  DA  release  is  responsible  for  GID  behavior,  DA 
antagonists  such  as  buspirone  can  be  administered  to  prevent  potential  aberrant  GID 
behavior. With our studies, we have ruled out the administration of exogenous BDNF as 
it  was  shown  to  exacerbate  GID  behavior  in  Met/Met  host  rats  engrafted  with  WT  DA 
neurons (see Chapter 4).  
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THE FUNCTIONAL BENEFIT OF rs6265 AND A POTENTIAL ROLE FOR THE BDNF 
PRO-PEPTIDE 
Although not at the forefront of my thesis studies, I did confirm that the 
homozygous rs6265 Met/Met genotype confers a degree of functional benefit and 
recovery following cell transplantation when compared to the WT genotype. Specifically, 
regardless of the presence of rs6265 in the host or donor neurons, animal groups with 
the Met/Met genotype demonstrated enhanced behavioral efficacy with earlier 
amelioration of LID behavior along with improvement of amphetamine-mediated 
rotational asymmetry compared to the WT hosts engrafted with WT DA neurons (see 
Chapter 3). Findings gained from my studies reinforce what was reported in (Mercado et 
al., 2021): Met/Met parkinsonian hosts exhibited enhanced graft-derived efficacy and 
increased neurite outgrowth in comparison to WT hosts (Mercado et al., 2021). 
Furthermore, a potential benefit of the Met allele (both heterozygous and homozygous) 
has been shown in other neurological conditions including traumatic brain injury (TBI) 
(Barbey et al., 2014; Finan et al., 2018; Krueger et al., 2011), stroke (Qin et al., 2014), 
multiple sclerosis (MS) (Zivadinov et al., 2007), Alzheimer’s disease (AD) (Voineskos et 
al., 2011), and peripheral nerve injury (McGregor et al., 2019) (see Chapter 3: 
Discussion). Evidently, these reports contradict the historical paradigm that the Met 
allele is solely a “risk” allele. Instead, they indicate that the Met allele has, at least to 
some extent, some evolutionary benefit that explains its relatively high prevalence 
(approximately 20%) (Mercado et al., 2021; Petryshen et al., 2010; Tsai, 2018) in the 
general human population.  
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The rs6265 SNP is found within the prodomain/pro-peptide region of the BDNF 
gene, and therefore, this may suggest an important role for the BDNF Met pro-peptide 
in neuroregeneration based on the unexpected benefit addressed above. 
Encouragingly, researchers have recently become aware that the BDNF pro-peptide 
appears to act an independent and functional ligand similar to that of mature and 
proBDNF (Anastasia et al., 2013; Kojima & Mizui, 2017; Mizui et al., 2017). For 
example, several research studies have investigated the expression levels and 
differential function of both the WT and Met BDNF pro-peptides, albeit mostly in the 
region of the hippocampus (see Table 5.1 for a comprehensive list of experiments). In 
the context of our parkinsonian rat model, I hypothesized that the BDNF Met pro-
peptide may be responsible for permitting enhanced neurite outgrowth of transplanted 
DA neurons demonstrated in (Mercado et al., 2021) and enhanced functional recovery 
((Mercado et al., 2021); Chapter 3 of my studies).  
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Table 5.1: Evidence of varied BDNF pro-peptide activity associated with rs6265 
SNP expression. 
Abbreviations: HC: hippocampus, mPFC: medial pre-frontal cortex, CSF: cerebral spinal 
fluid, MDD: major depressive disorder, SCZ: schizophrenia, B6: C57BL/6, NAc: nucleus 
accumbens, BD: bipolar disorder, E: embryonic, DIV: Day in vitro, SD: Sprague Dawley, 
AD: Alzheimer’s  disease,  CBM:  cerebellum,  PC:  parietal  cortex,  P:  postnatal. Adapted 
from (Szarowicz et al., 2022). 
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Study  Subjects/Model Region/Source Effect Dieni et al. (2012)    C57BL/6, Bdnf-Myc, cbdnf ko, Bsn mutant mice all 8 weeks of age. Hippocampus  Mature BDNF and the BDNF pro-peptide are stored at equimolar ratios in large dense core vesicles in presynaptic terminals of excitatory neurons. Anastasia et al. (2013) Cultures prepared from E18 BDNFVal/Val and BDNFMet/Met knock-in mice   Primary neurons were isolated from E15 C57BL/6 mouse embryos. Hippocampal-cortical neurons     Hippocampus In hippocampal-cortical neurons, secreted levels of Met prodomain was significantly lower compared to Val prodomain secretion.  In hippocampal neurons, growth cone retraction was induced by Met prodomain application in p75+ cells; Val prodomain was inactive. Met prodomain only interacted with SorCS2 receptor. Lim et al. (2015) SH-SY5Y neuroblastoma cells   Extracts from post-mortem tissue (AD patients) Hippocampus In culture, application of the Met prodomain negatively affected cell viability only in the presence of Aβ; Val prodomain had no effect.  Levels of pro-peptide were 16-fold higher in AD patients and correlated with Aβ accumulation. Mizui et al. (2015)   Slices prepared from 3–4-week-old C57BL/6 and Bdnf KO mice.    DIV21 cultures prepared from E18 Wistar rats. Hippocampal tissue slices      Hippocampus Application of the Val pro-peptide facilitated LTD in hippocampal slices and required the activation of GluN2B-containing NMDA receptors.  In cultured neurons, Val pro-peptide also induced endocytosis of AMPA receptors.  In cultured neurons, the presence of the Val66Met SNP in the pro-peptide inhibited LTD.    
 
Table 5.1 (cont’d)  
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Study  Subjects/Model Region/Source Effect Guo et al. (2016)  DIV16 rat neuronal cultures electroporated with plasmid-expressing eGFP. Hippocampus  Val prodomain application reduced spine density and increased spine length.  Val prodomain increased caspase-3 activity and mitochondria elongation. *Met prodomain was not studied. Yang et al. (2016) 7-week-old male Sprague Dawley rats of learned helplessness (LH) model of depression (WT and Bdnf KO). Medial prefrontal cortex (mPFC), CA3 and dentate gyrus of hippocampus, nucleus accumbens. Significantly higher expression of BDNF pro-peptide in mPFC and CA3 regions of LH rats compared to controls.   Significantly lower expression of BDNF pro-peptide in nucleus accumbens and dentate gyrus compared to controls. Uegaki et al. (2017) BIAcore sensor chip and recombinant human BDNF protein  Slices prepared from male C57BL/6J mice (3-4-weeks-old)       Hippocampus Using BIAcore chip, the BDNF pro-peptide binds to mature BDNF with high affinity.  Using BIAcore chip, The Met pro-peptide is more stable in acidic and neutral pH environments compared to Val pro-peptide.  In hippocampal slices, pre-incubation of the Val pro-peptide reduced the ability of mBDNF to inhibit LTD. Yang et al. (2017)  Patients with MDD, SCZ, and bipolar disorder (BD) Postmortem samples of cerebellum, parietal cortex, liver, and spleen BDNF pro-peptide levels were significantly lower in the cerebellum and the spleen of MDD, SCZ, and BD patients compared to control groups.  BDNF pro-peptide levels were significantly higher in the parietal cortex of MDD, SCZ, and BD patients compared to control groups.  
 
Table 5.1 (cont’d)  
To test my hypothesis, I employed an in vitro cell culture method which involved 
plating WT E14 eVM DA neurons (same cell source as our grafts) and treating them 
with exogenous administration of the WT or Met pro-peptide (25 ng/mL based on 
(Anastasia et al., 2013)) once per hour for a total of 16 hours (DIV4-5). Cells were then 
fixed with 4% paraformaldehyde and fluorescently stained for tyrosine hydroxylase (TH) 
to identify DA-positive neurons. Strikingly, Met pro-peptide application increased both 
the number and volume of TH+ neurons (Figure 5.2), indicating that the BDNF Met pro-
peptide may have a positive impact on embryonic DA neurons, at least within this 
primary cell source. Further trials of this experimental design are warranted in order to 
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Study  Subjects/Model Region/Source Effect Giza et al. (2018)  DIV21 primary neurons prepared from C57BL/6 mice.     BDNFVal/Val, BDNFVal/Met, BDNFMet/Met P23-P60 male mice. Hippocampus (ventral CA1 neurons)      Hippocampus In culture, the Met prodomain decreased mushroom spines and reduced PSD95 density in p75+ and SorCS2+ cells; Val prodomain had no effect.   Increased freezing behavior/decreased fear extinction was demonstrated in Met-prodomain injected mice. Fewer spines were also found in Met-prodomain treated mice compared with the Val-prodomain injected mice. Mizui et al. (2019) Japanese patients with Major depressive disorder (MDD) or Schizophrenia (SCZ) Cerebral spinal fluid The ratio of BDNF pro-peptide to total protein in MDD patients was lower in males and not females compared to controls.  The ratio of BDNF pro-peptide to total protein was lower in SCZ patients, but it was not statistically significant.            
 
 
optimize the timing of application (e.g., continuous vs. per hour administration) and pro-
peptide concentration. Again, while this was an ancillary study of my thesis, these 
findings provide an exciting new path for future research on the paradoxical benefit of 
the Met-allele.  
a) 
b) 
Figure 5.2: Impact of the BDNF Met and WT pro-peptides on survival and volume 
(µm3) of TH+ DA neurons in cell culture. 
(a) Number of TH+ dopaminergic neurons following treatment of the BDNF Met or WT 
pro-peptide  and  their  respective  controls  (i.e.,  mature  BDNF  or  water  as  a  negative 
control). Statistics: Mean ± SEM, Ordinary one-way ANOVA with Tukey’s multiple  
comparisons,  p   =  0.0194  mBDNF vs.  Met  pro-peptide-treatment; p  = 0.0168  negative 
control vs.  Met  pro-peptide-treatment.  (b)  Average  volume  (µm3) of TH+  dopaminergic 
neurons following treatment of BDNF Met or WT pro-peptide and their respective controls. 
Statistics: Mean ± SEM, Ordinary one-way ANOVA with Tukey’s multiple comparisons, p 
= 0.0179 mBDNF vs. Met pro-peptide-treatment; p = 0.0115 negative control vs. Met pro-
peptide-treatment.  
LIMITATIONS AND ALTERNATIVE APPROACHES 
Two limitations of my studies include the exclusion of heterozygous rs6265 
(Val/Met) parkinsonian rats and the exclusion of female parkinsonian rats. These 
omissions were made for several practical reasons. In our first proof-of-concept 
experiment (Chapter 3), only WT and homozygous rs6265 (Met/Met) animals were 
studied in order to maximize the chances of observing any effect that might be 
326 
 
 
 
associated with the rs6265 SNP as the homozygous rs6265 genotype has the largest 
decrease in activity-dependent release of BDNF (Mercado et al., 2021). Additionally, 
because several host/donor combinations were being studied, including another 
genotypic profile would not be feasible to maintain as the total animals would be too 
numerous for proper behavioral analysis. The homozygous Met/Met genotype engrafted 
with WT DA neurons was employed for the second study (Chapter 4) as that was the 
only host/donor combination in our previous studies to develop significantly meaningful 
GID behavior. Similarly, only male rats were studied to maintain experimental feasibility. 
Because BDNF is well-known to interact with sex hormones (Chan & Ye, 2017; Wei et 
al., 2017), and rs6265 has been found to drive sex-specific susceptibility in various 
neurological disorders such as AD (Laing et al., 2012), MDD (Chagnon et al., 2015; 
Tsai, 2018), and schizophrenia (Chao et al., 2008; Suchanek et al., 2013; Yi et al., 2011) 
(see (Szarowicz et al., 2022)) for review), it would be highly relevant to conduct future 
studies repeated in females moving forward.  
We had originally planned to include only two grafted cohorts for the second 
experimental study with BDNF infusion (i.e., DA-grafted BDNF-infused and DA-grafted 
PBS-infused animals) (Chapter 4). In one cohort of animals, we had explored the idea 
of sacrificing immediately following osmotic minipump removal at the end of the four 
week infusion, and the other cohort was to be extended an additional six weeks after 
pump removal. However, due to unforeseen obstacles, we had to re-design our 
experiment: after purchasing timed-pregnant female rats for cell collection, the rats were 
not pregnant. Because we had already begun priming the pumps with BDNF and PBS, 
we made the decision to re-design the experiment to instead include “non-grafted” 
327 
 
BDNF- and PBS-infused animals and extend all animals to 10 weeks post-engraftment. 
In addition to this, we could have alternatively extended BDNF supplementation for a 
longer period; however, we were restricted by the cost of the BDNF protein (i.e., 
$50,000 for 8 mg). Despite these difficulties, the results obtained from these first proof-
of-concept studies are meaningful and provide a foundation for additional future 
research.   
For both in vivo experiments, I was only able to use indirect markers to determine 
whether there was evidence of differences in DA release (i.e., DAT expression) and 
immune activation (i.e., Iba1, GFAP). Although the markers I employed provide a 
sufficient starting point, neither directly demonstrate whether excess DA release or 
immune activation are underlying mechanisms of GID behavior. For instance, the DAT 
protein was immunohistochemically stained postmortem to indirectly assess DA release; 
however, DAT expression alone may not be affected in these animals. Accordingly, 
investigating the function of the receptor or other DA markers (e.g., D1/D2 receptors) 
would be a great addition to further assess whether DA release is indeed associated 
with GID in this model. Future experiments designed to directly measure DA release at 
the grafted DA neurons in the striatum would be important to collect definitive evidence. 
Such studies could involve in vivo voltammetry, which is further discussed below.  
Moreover, for immune markers, Iba1 and GFAP were chosen because both are 
pan markers commonly utilized to identify microglia and astrocytes, respectively. 
However, because they are solely pan markers, I was limited in realizing whether these 
immune cells are active or inactive as their presence alone does not necessarily reflect 
an increased activation of the immune system. Alternatively, other markers such as 
328 
 
MHC-II could be used, or the morphology of Iba1+ and GFAP+ cells in my studies could 
be analyzed in the future as another indication of activated vs. inactivated microglia or 
astrocytes, respectively.  
My data demonstrate the novel co-localization of VMAT2 and VGLUT2, which 
correlated significantly with GID behavior in DA-grafted BDNF-infused Met/Met 
parkinsonian rats. Again, to the best of my knowledge, this is the first time VMAT2 and 
VGLUT2 are shown to co-localize in grafted eVM neurons. However, as addressed in 
Chapter 4, the fluorescent immunohistochemistry approach I used for the analysis of 
VMAT2/VGLUT2 was limited as it could not visualize specific synaptic vesicles, which 
are only roughly 40 nm in diameter. Therefore, an additional approach to general 
immunohistochemical analysis is to employ electron microscopy or a proximity ligation 
assay (PLA), which is discussed in detail below. 
Lastly, to expand the translatability of my studies to the current clinical trials that 
are planned or ongoing, using another cell source other than primary DA neurons would 
be beneficial. For example, due to several ethical concerns and difficulty in obtaining 
sufficient quantities of embryonic cells, induced pluripotent stem cells (iPSCs) are a cell 
source that clinicians and researchers are shifting toward utilizing (Barker et al., 2024). 
In my experiments, we employed primary embryonic DA neurons because this is the 
only cell source that is currently known to induce substantial GID behavior. 
Nevertheless, alternative tests that employ iPSCs transplants are warranted to achieve 
an experimental design that is more translatable to human trials.  
329 
 
 
 
The Benefit of the Met allele and the BDNF Met Pro-peptide 
FUTURE DIRECTIONS 
As discussed previously in Limitations and Alternative Approaches, I conducted 
an in vitro cell culture experiment aimed at studying the differential impact of the BDNF 
WT vs. Met pro-peptide on neurite outgrowth in primary eVM DA neurons. In order to 
focus on the detriment, rather than the benefit, of the rs6265 Met/Met genotype in 
parkinsonian rats, I have not included these data in my dissertation. It is important to 
note, however, that our group submitted these cells to NanoString to be analyzed for 
differences in transcriptomic profiles between the WT- and Met-pro-peptide-treated 
cells, and we are currently in the process of analyzing the results. If certain genes 
related to neurite outgrowth are upregulated in the Met-pro-peptide-treated cells, these 
genes could potentially be targeted therapeutically to enhance the beneficial outcomes 
of neural transplantation in rs6265-carrying subjects. 
Directly measuring DA release 
Previous clinical trials have demonstrated promising evidence in favor of excess 
DA release underlying GID behavior. For instance, FDOPA PET signals were 
significantly higher in grafted patients who developed GID compared to the patients who 
did not (Ma et al., 2002) (see Chapter 1: Uneven DA reinnervation/DA release). Now, 
with our preclinical parkinsonian model, I have demonstrated indices of excess DA 
release in WT-grafted homozygous rs6265 (Met/Met) parkinsonian rats (i.e., increased 
DAT expression) (Chapter 3 and 4). Regrettably, however, both PET scans and DAT 
expression are not direct measures of DA release, so we can only infer that increased 
DA is associated with GID behavior. Therefore, future studies that directly assess DA 
330 
 
release from the graft are warranted. Accordingly, it would be advantageous to employ 
in vivo voltammetry, a technique that is commonly used to measure neurotransmitter 
release concomitantly with behavioral assessment. With this technique, we could be 
more confident whether DA release underlies GID behavior in this parkinsonian rs6265 
rat model.  
Co-localization of VMAT2/VGLUT2 and Vesicular Synergy 
It is likely that excess DA alone does not result in GID behavior, and thus, I 
investigated a possible connection between DA release and glutamate co-transmission 
based on previous findings that correlated VGLUT2 expression to GID in Met/Met hosts 
engrafted with WT DA neurons (Mercado et al., 2021). My results demonstrated that the 
number of (presumed) co-localized VMAT2/VGLUT2 was strongly, and significantly, 
correlated with GID behavior in WT DA-grafted BDNF-infused Met/Met parkinsonian rats 
(see Chapter 4), providing a compelling argument for the theory of vesicular synergy in 
these animals. However, VMAT2 and VGLUT2 are only presumed to be colocalized in 
the grafted DA neurons due to the limitations of magnification in my postmortem 
analyses. Thus, as a future direction, I propose employing a PLA assay that would aid in 
the definitive determination of whether VMAT2 and VGLUT2 are co-localized on the 
same synaptic vesicle. Using the PLA assay, the transporters will fluoresce if they are 
found within 40 nm of each other in the grafted DA neurons. Because there remains 
considerable contention as to whether VMAT2 and VGLUT2 are found on the same 
vesicle (e.g., (Aguilar et al., 2017; Zhang et al., 2015)), and as VMAT2/VGLUT2 have 
not been studied in eVM tissue or in the context of neural grafting, findings that 
demonstrate same vesicle colocalization could be groundbreaking.  
331 
 
A promising role for the immune system 
Although no exhibition associating the immune response to GID behavior was 
found in my studies, this does not exclude immune activation from potentially underlying 
GIDs, especially due to the limitations of immune marker analysis addressed in 
Limitations and Alternative Approaches. Indeed, clinical trials (Freed et al., 2001; 
Olanow et al., 2003) have demonstrated that, only after immunosuppression was 
discontinued, GIDs developed in DA-grafted individuals with PD. Our group has 
additionally confirmed that, in preclinical parkinsonian rat studies, GID severity was 
increased following immune challenge (Soderstrom et al., 2008). Future studies should 
directly investigate the role of immune activation in our rs6265 parkinsonian rat model to 
determine whether immune function correlates to GID behavior. In this way, 
immunosuppression agents (Figure 5.1b) could be given to DA-grafted WT and rs6265 
(Met/Met) parkinsonian rats; GID behavior and postmortem morphological changes of 
immune markers could then be assessed. Ultimately, this could be a promising potential 
therapeutic target aimed at the prevention of GID.  
Graft Location  
While not quantitative, I anecdotally observed that the location of the graft (e.g., 
dorsolateral vs. ventrolateral) influenced the development of GID behavior in both of my 
studies. For instance, in the host/donor combination study, I was able to qualitatively 
show that the homozygous rs6265 Met/Met hosts engrafted with WT DA neurons 
demonstrated a higher percentage of DA grafts placed in the dorsolateral region of the 
striatum and subsequently had a higher occurrence of significant GID induction 
compared to the other DA-grafted host/donor groups (see Figure 5.3). Likewise, in my 
332 
 
second experiment, based on the neurite outgrowth data (see Chapter 4), the higher 
neurite density of the graft was found in the dorsolateral region of the striatum in the 
DA-grafted BDNF-infused animals, the same group that exhibited significant GID 
behavior. Differential graft placement could also have been a contributor of GID in 
clinical trials. For example, in the Denver/Columbia trial (Freed et al., 2001), GID mainly 
affected the upper body, manifested primarily as dystonic movements, and increased 
FD uptake (PET) in the dorsal putamen. Conversely, in the Tampa/Mount Sinai trial 
(Olanow et al., 2003), GID developed largely in the lower extremities with more 
stereotypic movements, and FD uptake was increased in the ventral region of the 
putamen. These differences in GID suggest that variability is likely due to the differential 
placements of the DA graft (Steece-Collier et al., 2012).  
Since the dorsal and ventral striatum have differential functions, these findings 
are not entirely unexpected. Indeed, the dorsal striatum generally controls motor and 
cognitive function (Cataldi et al., 2022; Corbit et al., 2017; Haith & Krakauer, 2018), 
while the ventral striatum regulates motivation and reward (Grueter et al., 2012; Nestler 
et al., 2002; Russo et al., 2010). While the graft location findings from my thesis are not 
quantitative and need to be studied further, other evidence from clinical grafting trials 
provide insights into the possibility of graft location influencing GID induction. Therefore, 
a small preliminary animal experiment could be designed in which eVM neurons are 
grafted into specific regional locations of the striatum (e.g., dorsolateral vs. 
ventrolateral) and assessed for GID behavior. 
333 
 
 
Figure 5.3: Qualitative comparison of graft location and GID scores in each 
host/donor combination. 
Homozygous Met/Met parkinsonian rats engrafted with WT DA neurons (shown above in 
green) demonstrated a higher number of animals that exhibited increased GID behavior, 
and an increased number of these animals with GID behavior had grafts that were placed 
more dorsolateral in the striatum. The dotted line demarcates a total GID score of 15 or 
above at 10 weeks post-engraftment.  
Transplanting iPSCs into our rs6265 Parkinsonian Rat Model 
Previously discussed above, clinical trials are now shifting (see Table 5.2) toward 
utilizing iPSCs as a cell source for neural transplantation in PD due to the ethical 
concerns of using embryonic neurons and the obstacles of obtaining a sufficient amount 
of tissue (Barker et al., 2024). However, because VM transplants are currently the only 
cell source to induce GID behavior, the clinical outcomes of iPSC transplants remain 
unknown. Moreover, like past trials, iPSCs have not been genotyped for the rs6265 
SNP to the best of my knowledge, and therefore, it is unknown whether the host/donor 
interactions we have demonstrated in our preclinical parkinsonian rats also apply to 
iPSC transplants. Regardless, an advantage of using iPSCs is that they could be 
programmed and/or genetically manipulated to produce less, or more, DA and/or 
express less or more VMAT2/VGLUT2, if these are indeed the underlying factors 
responsible for GID behavior. It could, however, be entirely possible that transplantation 
of iPSCs do not induce GID behavior in DA-grafted parkinsonian individuals. Therefore, 
334 
 
 
I would recommend that a similar experiment to my studies be conducted in the future 
using iPSCs as the cell source for transplantation to determine whether these cells have 
the potential to induce GID.  
Table 5.2: Clinical Trials using iPSCs. 
Current planned or ongoing clinical trials using iPSCs as a cell source for neuron 
transplantation in PD. Abbreviations: iPSCs = induced pluripotent stem cells; PASCs = 
PASCs = pluripotent stem cells isolated from adipose tissue; DA = dopamine; HiPSC = 
human induced pluripotent stem cells; iPSC-DAPs = induced pluripotent stem cells 
dopaminergic progenitor cells. 
335 
Clinical Trial ID Location Cell Source Status NCT06687837 Boston, MA, USA Autologous iPSCs Recruiting NCT06482268 La Jolla, CA, USA Human iPSCs Recruiting NCT06422208 Boston, MA, USA Autologous iPSC-derived DA neurons Enrolling my invitation NCT06141317 San Jose, Costa Rica PASCs Active, not recruiting NCT05901818 Beijing, China Autologous induced neural stem cell-derived DA precursor cells Recruiting JMA-IIA00384 Kyoto, Japan Allogenic human iPSCs Completed NCT06145711 Shanghai, Shanghai China HiPSC-derived dopaminergic neural precursor cells Recruiting  NCT06821529 Hangzhou, Zhejiang, China iPSC-DAPs Not yet recruiting   
 
 
 
 
 
CONCLUDING REMARKS 
The key findings presented in this thesis are three-fold: (1) the homozygous 
rs6265 Met/Met genotype, regardless of host or donor, confers a degree of functional 
graft-derived benefit in parkinsonian rats; (2) homozygous rs6265 Met/Met parkinsonian 
rats engrafted with WT DA neurons remain the only host/donor combination to develop 
aberrant GID behavior; (3) excess DA release and/or DA/glutamate co-transmission are 
promising factors that likely underlie GID behavior. These findings ultimately support the 
notion that PD remains a complex, heterogeneous disorder, making it almost impossible 
to develop a “one-size-fits-all” therapy that works uniformly for everyone. Instead, a 
precision-medicine-based approach, especially in regenerative cell therapy, is 
warranted to treat PD. Results obtained from this thesis have provided a solid 
foundation for future studies moving forward in this precision-medicine-based climate.  
It is, again, highly recommended that PD patients and donors be genotyped for 
the rs6265 SNP prior to receiving cell transplants. Additionally, now that the field have 
shifted toward implementing iPSCs as a new cell source in clinical trials, we can now 
determine whether iPSC-engrafted patients develop GID. In the event that GID do 
develop, we now have at least some insight into the underlying GID mechanisms based 
on my thesis findings. While cell transplantation does not, and will not, offer a “cure” for 
PD, it does offer a promising non-pharmacological alternative to the therapies that are 
currently prescribed. However, until cell transplantation is completely optimized by 
harnessing the benefits while preventing the side effects (e.g., GID), neural 
transplantation will not be considered a fully safe and effective therapeutic alternative to 
treat PD. 
336 
 
BIBLIOGRAPHY 
Aguilar, J. I., Dunn, M., Mingote, S., Karam, C. S., Farino, Z. J., Sonders, M. S., Choi, S. 
J., Grygoruk, A., Zhang, Y., Cela, C., Choi, B. J., Flores, J., Freyberg, R. J., 
McCabe, B. D., Mosharov, E. V., Krantz, D. E., Javitch, J. A., Sulzer, D., Sames, 
D., … Freyberg, Z. (2017). Neuronal Depolarization Drives Increased Dopamine 
Synaptic Vesicle Loading via VGLUT. Neuron, 95(5), 1074-1088.e7. 
https://doi.org/10.1016/j.neuron.2017.07.038 
Anastasia, A., Deinhardt, K., Chao, M. V., Will, N. E., Irmady, K., Lee, F. S., 
Hempstead, B. L., & Bracken, C. (2013). Val66Met polymorphism of BDNF alters 
prodomain structure to induce neuronal growth cone retraction. Nature 
Communications, 4. https://doi.org/10.1038/ncomms3490 
Barbey, A. K., Colom, R., Paul, E., Forbes, C., Krueger, F., Goldman, D., & Grafman, J. 
(2014). Preservation of general intelligence following traumatic brain injury: 
Contributions of the Met66 brain-derived neurotrophic factor. PLoS ONE, 9(2). 
https://doi.org/10.1371/journal.pone.0088733 
Barker, R. A., Björklund, A., & Parmar, M. (2024). The history and status of dopamine 
cell therapies for Parkinson’s disease. BioEssays. 
https://doi.org/10.1002/bies.202400118 
Bove, F., & Calabresi, P. (2022). Plasticity, genetics, and epigenetics in l-dopa-induced 
dyskinesias. Handbook of Clinical Neurology, 184, 167–184. 
https://doi.org/10.1016/B978-0-12-819410-2.00009-6 
Cataldi, S., Stanley, A. T., Miniaci, M. C., & Sulzer, D. (2022). Interpreting the role of the 
striatum during multiple phases of motor learning. The FEBS Journal, 289(8), 
2263–2281. https://doi.org/10.1111/febs.15908 
Chagnon, Y. C., Potvin, O., Hudon, C., & Préville, M. (2015). DNA methylation and 
single nucleotide variants in the brain-derived neurotrophic factor (BDNF) and 
oxytocin receptor (OXTR) genes are associated with anxiety/depression in older 
women. Frontiers in Genetics, 6(JUN). https://doi.org/10.3389/fgene.2015.00230 
Chan, C. B., & Ye, K. (2017). Sex differences in brain‐derived neurotrophic factor 
signaling and functions. Journal of Neuroscience Research, 95(1–2), 328–335. 
https://doi.org/10.1002/jnr.23863 
Chao, H. M., Kao, H. T., & Porton, B. (2008). BDNF Val66Met variant and age of onset 
in schizophrenia. American Journal of Medical Genetics, Part B: Neuropsychiatric 
Genetics, 147(4). https://doi.org/10.1002/ajmg.b.30619 
Chen, C., Dong, Y., Liu, F., Gao, C., Ji, C., Dang, Y., Ma, X., & Liu, Y. (2020). A study of 
antidepressant effect and mechanism on intranasal delivery of BDNF-HA2TAT/AAV 
to rats with post-stroke depression. Neuropsychiatric Disease and Treatment, 16. 
https://doi.org/10.2147/NDT.S227598 
337 
 
Corbit, V. L., Ahmari, S. E., & Gittis, A. H. (2017). A Corticostriatal Balancing Act 
Supports Skill Learning. Neuron, 96(2), 253–255. 
https://doi.org/10.1016/j.neuron.2017.09.046 
Dieni, S., Matsumoto, T., Dekkers, M., Rauskolb, S., Ionescu, M. S., Deogracias, R., 
Gundelfinger, E. D., Kojima, M., Nestel, S., Frotscher, M., & Barde, Y. A. (2012). 
BDNF and its pro-peptide are stored in presynaptic dense core vesicles in brain 
neurons. Journal of Cell Biology, 196(6). https://doi.org/10.1083/jcb.201201038 
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., 
Zaitsev, E., Gold, B., Goldman, D., Dean, M., Lu, B., & Weinberger, D. R. (2003). 
The BDNF val66met polymorphism affects activity-dependent secretion of BDNF 
and human memory and hippocampal function. Cell, 112(2). 
https://doi.org/10.1016/S0092-8674(03)00035-7 
Fabbri, M., Coelho, M., Abreu, D., Guedes, L. C., Rosa, M. M., Costa, N., Antonini, A., & 
Ferreira, J. J. (2016). Do patients with late-stage Parkinson’s disease still respond 
to levodopa? Parkinsonism & Related Disorders, 26, 10–16. 
https://doi.org/10.1016/j.parkreldis.2016.02.021 
Finan, J. D., Udani, S. V., Patel, V., & Bailes, J. E. (2018). The Influence of the 
Val66Met Polymorphism of Brain-Derived Neurotrophic Factor on Neurological 
Function after Traumatic Brain Injury. In Journal of Alzheimer’s Disease (Vol. 65, 
Issue 4). https://doi.org/10.3233/JAD-180585 
Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R., Dillon, 
S., Winfield, H., Culver, S., Trojanowski, J. Q., Eidelberg, D., & Fahn, S. (2001). 
Transplantation of Embryonic Dopamine Neurons for Severe Parkinson’s Disease. 
New England Journal of Medicine, 344(10). 
https://doi.org/10.1056/nejm200103083441002 
Giza, J. I., Kim, J., Meyer, H. C., Anastasia, A., Dincheva, I., Zheng, C. I., Lopez, K., 
Bains, H., Yang, J., Bracken, C., Liston, C., Jing, D., Hempstead, B. L., & Lee, F. S. 
(2018). The BDNF Val66Met Prodomain Disassembles Dendritic Spines Altering 
Fear Extinction Circuitry and Behavior. Neuron, 99(1). 
https://doi.org/10.1016/j.neuron.2018.05.024 
Grueter, B. A., Rothwell, P. E., & Malenka, R. C. (2012). Integrating synaptic plasticity 
and striatal circuit function in addiction. Current Opinion in Neurobiology, 22(3), 
545–551. https://doi.org/10.1016/j.conb.2011.09.009 
Guo, J., Ji, Y., Ding, Y., Jiang, W., Sun, Y., Lu, B., & Nagappan, G. (2016). BDNF pro-
peptide regulates dendritic spines via caspase-3. Cell Death and Disease, 7(6). 
https://doi.org/10.1038/cddis.2016.166 
Hagell, P., & Cenci, M. A. (2005). Dyskinesias and dopamine cell replacement in 
Parkinson’s disease: A clinical perspective. Brain Research Bulletin, 68(1–2). 
https://doi.org/10.1016/j.brainresbull.2004.10.013 
338 
 
Hagell, P., Piccini, P., Björklund, A., Brundin, P., Rehncrona, S., Widner, H., Crabb, L., 
Pavese, N., Oertel, W. H., Quinn, N., Brooks, D. J., & Lindvall, O. (2002). 
Dyskinesias following neural transplantation in Parkinson’s disease. Nature 
Neuroscience, 5(7), 627–628. https://doi.org/10.1038/nn863 
Haith, A. M., & Krakauer, J. W. (2018). The multiple effects of practice: skill, habit and 
reduced cognitive load. Current Opinion in Behavioral Sciences, 20, 196–201. 
https://doi.org/10.1016/j.cobeha.2018.01.015 
Kells, A. P., Fong, D. M., Dragunow, M., During, M. J., Young, D., & Connor, B. (2004). 
AAV-mediated gene delivery of BDNF or GDNF is neuroprotective in a model of 
Huntington disease. Molecular Therapy, 9(5). 
https://doi.org/10.1016/j.ymthe.2004.02.016 
Kojima, M., & Mizui, T. (2017). BDNF Propeptide: A Novel Modulator of Synaptic 
Plasticity. In Vitamins and Hormones (Vol. 104). 
https://doi.org/10.1016/bs.vh.2016.11.006 
Krueger, F., Pardini, M., Huey, E. D., Raymont, V., Solomon, J., Lipsky, R. H., 
Hodgkinson, C. A., Goldman, D., & Grafman, J. (2011). The role of the met66 brain-
derived neurotrophic factor allele in the recovery of executive functioning after 
combat-related traumatic brain injury. Journal of Neuroscience, 31(2). 
https://doi.org/10.1523/JNEUROSCI.1399-10.2011 
Laing, K. R., Mitchell, D., Wersching, H., Czira, M. E., Berger, K., & Baune, B. T. (2012). 
Brain-derived neurotrophic factor (BDNF) gene: A gender-specific role in cognitive 
function during normal cognitive aging of the MEMO-Study? Age, 34(4). 
https://doi.org/10.1007/s11357-011-9275-8 
Levivier, M., Przedborski, S., Bencsics, C., & Kang, U. J. (1995). Intrastriatal 
implantation of fibroblasts genetically engineered to produce brain-derived 
neurotrophic factor prevents degeneration of dopaminergic neurons in a rat model 
of Parkinson’s disease. Journal of Neuroscience, 15(12). 
https://doi.org/10.1523/jneurosci.15-12-07810.1995 
Lim, J. Y., Reighard, C. P., & Crowther, D. C. (2015). The pro-domains of 
neurotrophins, including BDNF, are linked to Alzheimer’s disease through a toxic 
synergy with Aβ. Human Molecular Genetics, 24(14). 
https://doi.org/10.1093/hmg/ddv130 
Ma, Y., Feigin, A., Dhawan, V., Fukuda, M., Shi, Q., Greene, P., Breeze, R., Fahn, S., 
Freed, C., & Eidelberg, D. (2002). Dyskinesia after fetal cell transplantation for 
parkinsonism: A PET study. Annals of Neurology, 52(5), 628–634. 
https://doi.org/10.1002/ana.10359 
McGregor, C. E., Irwin, A. M., & English, A. W. (2019). The Val66Met BDNF 
Polymorphism and Peripheral Nerve Injury: Enhanced Regeneration in Mouse Met-
Carriers Is Not Further Improved With Activity-Dependent Treatment. 
339 
 
 
Neurorehabilitation and Neural Repair, 33(6). 
https://doi.org/10.1177/1545968319846131 
Mercado, N. M., Stancati, J. A., Sortwell, C. E., Mueller, R. L., Boezwinkle, S. A., Duffy, 
M. F., Fischer, D. L., Sandoval, I. M., Manfredsson, F. P., Collier, T. J., & Steece-
Collier, K. (2021). The BDNF Val66Met polymorphism (rs6265) enhances 
dopamine neuron graft efficacy and side-effect liability in rs6265 knock-in rats. 
Neurobiology of Disease, 148. https://doi.org/10.1016/j.nbd.2020.105175 
Mercado, N. M., Szarowicz, C., Stancati, J. A., Sortwell, C. E., Boezwinkle, S. A., 
Collier, T. J., Caulfield, M. E., & Steece-Collier, K. (2024). Advancing age and the 
rs6265 BDNF SNP are permissive to graft-induced dyskinesias in parkinsonian 
rats. Npj Parkinson’s Disease, 10(1), 163. https://doi.org/10.1038/s41531-024-
00771-6 
Mizui, T., Hattori, K., Ishiwata, S., Hidese, S., Yoshida, S., Kunugi, H., & Kojima, M. 
(2019). Cerebrospinal fluid BDNF pro-peptide levels in major depressive disorder 
and schizophrenia. Journal of Psychiatric Research, 113. 
https://doi.org/10.1016/j.jpsychires.2019.03.024 
Mizui, T., Ishikawa, Y., Kumanogoh, H., Lume, M., Matsumoto, T., Hara, T., Yamawaki, 
S., Takahashi, M., Shiosaka, S., Itami, C., Uegaki, K., Saarma, M., & Kojima, M. 
(2015). BDNF pro-peptide actions facilitate hippocampal LTD and are altered by the 
common BDNF polymorphism Val66Met. Proceedings of the National Academy of 
Sciences of the United States of America, 112(23). 
https://doi.org/10.1073/pnas.1422336112 
Mizui, T., Ohira, K., & Kojima, M. (2017). BDNF pro-peptide: A novel synaptic modulator 
generated as an N-terminal fragment from the BDNF precursor by proteolytic 
processing. In Neural Regeneration Research (Vol. 12, Issue 7). 
https://doi.org/10.4103/1673-5374.211173 
Nagahara, A. H., & Tuszynski, M. H. (2011). Potential therapeutic uses of BDNF in 
neurological and psychiatric disorders. In Nature Reviews Drug Discovery (Vol. 10, 
Issue 3). https://doi.org/10.1038/nrd3366 
Nestler, E. J., Barrot, M., DiLeone, R. J., Eisch, A. J., Gold, S. J., & Monteggia, L. M. 
(2002). Neurobiology of Depression. Neuron, 34(1), 13–25. 
https://doi.org/10.1016/S0896-6273(02)00653-0 
Olanow, C. W., Goetz, C. G., Kordower, J. H., Stoessl, A. J., Sossi, V., Brin, M. F., 
Shannon, K. M., Nauert, G. M., Perl, D. P., Godbold, J., & Freeman, T. B. (2003). A 
double-blind controlled trial of bilateral fetal nigral transplantation in Parkinson’s 
disease. Annals of Neurology, 54(3). https://doi.org/10.1002/ana.10720 
Petryshen, T. L., Sabeti, P. C., Aldinger, K. A., Fry, B., Fan, J. B., Schaffner, S. F., 
Waggoner, S. G., Tahl, A. R., & Sklar, P. (2010). Population genetic study of the 
brain-derived neurotrophic factor (BDNF) gene. Molecular Psychiatry, 15(8). 
340 
 
https://doi.org/10.1038/mp.2009.24 
Qin, L., Jing, D., Parauda, S., Carmel, J., Ratan, R. R., Lee, F. S., & Cho, S. (2014). An 
adaptive role for BDNF Val66Met polymorphism in motor recovery in chronic stroke. 
Journal of Neuroscience, 34(7). https://doi.org/10.1523/JNEUROSCI.4140-13.2014 
Russo, S. J., Dietz, D. M., Dumitriu, D., Morrison, J. H., Malenka, R. C., & Nestler, E. J. 
(2010). The addicted synapse: mechanisms of synaptic and structural plasticity in 
nucleus accumbens. Trends in Neurosciences, 33(6), 267–276. 
https://doi.org/10.1016/j.tins.2010.02.002 
Shin, E., Garcia, J., Winkler, C., Björklund, A., & Carta, M. (2012). Serotonergic and 
dopaminergic mechanisms in graft-induced dyskinesia in a rat model of Parkinson’s 
disease. Neurobiology of Disease, 47(3), 393–406. 
https://doi.org/10.1016/j.nbd.2012.03.038 
Soderstrom, K. E., Meredith, G., Freeman, T. B., McGuire, S. O., Collier, T. J., Sortwell, 
C. E., Wu, Q., & Steece-Collier, K. (2008). The synaptic impact of the host immune 
response in a parkinsonian allograft rat model: Influence on graft-derived aberrant 
behaviors. Neurobiology of Disease, 32(2). 
https://doi.org/10.1016/j.nbd.2008.06.018 
Steece-Collier, K., Rademacher, D. J., & Soderstrom, K. E. (2012). Anatomy of graft-
induced dyskinesias: Circuit remodeling in the parkinsonian striatum. In Basal 
Ganglia (Vol. 2, Issue 1). https://doi.org/10.1016/j.baga.2012.01.002 
Suchanek, R., Owczarek, A., Paul-Samojedny, M., Kowalczyk, M., Kucia, K., & 
Kowalski, J. (2013). BDNF val66met polymorphism is associated with age at onset 
and intensity of symptoms of paranoid schizophrenia in a Polish population. Journal 
of Neuropsychiatry and Clinical Neurosciences, 25(1). 
https://doi.org/10.1176/appi.neuropsych.11100234 
Szarowicz, C. A., Steece-Collier, K., & Caulfield, M. E. (2022). New Frontiers in 
Neurodegeneration and Regeneration Associated with Brain-Derived  Neurotrophic 
Factor and the rs6265 Single Nucleotide Polymorphism. International Journal of 
Molecular Sciences, 23(14). https://doi.org/10.3390/ijms23148011 
Tsai, S. J. (2018). Critical issues in BDNF Val66met genetic studies of neuropsychiatric 
disorders. In Frontiers in Molecular Neuroscience (Vol. 11). 
https://doi.org/10.3389/fnmol.2018.00156 
Uegaki, K., Kumanogoh, H., Mizui, T., Hirokawa, T., Ishikawa, Y., & Kojima, M. (2017). 
BDNF binds its pro-peptide with high affinity and the common val66met 
polymorphism attenuates the interaction. International Journal of Molecular 
Sciences, 18(5). https://doi.org/10.3390/ijms18051042 
Varanese, S., Birnbaum, Z., Rossi, R., & Di Rocco, A. (2010). Treatment of Advanced 
Parkinson’s Disease. Parkinson’s Disease, 2010, 1–9. 
341 
 
https://doi.org/10.4061/2010/480260 
Voineskos, A. N., Lerch, J. P., Felsky, D., Shaikh, S., Rajji, T. K., Miranda, D., Lobaugh, 
N. J., Mulsant, B. H., Pollock, B. G., & Kennedy, J. L. (2011). The brain-derived 
neurotrophic factor Val66Met polymorphism and prediction of neural risk for 
alzheimer disease. Archives of General Psychiatry, 68(2). 
https://doi.org/10.1001/archgenpsychiatry.2010.194 
Wei, Y., Wang, S., & Xu, X. (2017). Sex differences in brain‐derived neurotrophic factor 
signaling: Functions and implications. Journal of Neuroscience Research, 95(1–2), 
336–344. https://doi.org/10.1002/jnr.23897 
Yang, B., Qin, J., Nie, Y., Li, Y., & Chen, Q. (2017). Brain-derived neurotrophic factor 
propeptide inhibits proliferation and induces apoptosis in C6 glioma cells. 
NeuroReport, 28(12). https://doi.org/10.1097/WNR.0000000000000828 
Yang, B., Ren, Q., Zhang, J. C., Chen, Q. X., & Hashimoto, K. (2017). Altered 
expression of BDNF, BDNF pro-peptide and their precursor proBDNF in brain and 
liver tissues from psychiatric disorders: Rethinking the brain-liver axis. Translational 
Psychiatry, 7(5). https://doi.org/10.1038/tp.2017.95 
Yang, B., Yang, C., Ren, Q., Zhang, J. chun, Chen, Q. X., Shirayama, Y., & Hashimoto, 
K. (2016). Regional differences in the expression of brain-derived neurotrophic 
factor (BDNF) pro-peptide, proBDNF and preproBDNF in the brain confer stress 
resilience. European Archives of Psychiatry and Clinical Neuroscience, 266(8). 
https://doi.org/10.1007/s00406-016-0693-6 
Yeom, C. W., Park, Y. J., Choi, S. W., & Bhang, S. Y. (2016). Association of peripheral 
BDNF level with cognition, attention and behavior in preschool children. Child and 
Adolescent Psychiatry and Mental Health, 10(1). https://doi.org/10.1186/s13034-
016-0097-4 
Yi, Z., Zhang, C., Wu, Z., Hong, W., Li, Z., Fang, Y., & Yu, S. (2011). Lack of effect of 
brain derived neurotrophic factor (BDNF) Val66Met polymorphism on early onset 
schizophrenia in Chinese Han population. Brain Research, 1417. 
https://doi.org/10.1016/j.brainres.2011.08.037 
Zhang, S., Qi, J., Li, X., Wang, H.-L., Britt, J. P., Hoffman, A. F., Bonci, A., Lupica, C. 
R., & Morales, M. (2015). Dopaminergic and glutamatergic microdomains in a 
subset of rodent mesoaccumbens axons. Nature Neuroscience, 18(3), 386–392. 
https://doi.org/10.1038/nn.3945 
Zivadinov, R., Weinstock-Guttman, B., Benedict, R., Tamaño-Blanco, M., Hussein, S., 
Abdelrahman, N., Durfee, J., & Ramanathan, M. (2007). Preservation of gray 
matter volume in multiple sclerosis patients with the Met allele of the rs6265 
(Val66Met) SNP of brain-derived neurotrophic factor. Human Molecular Genetics, 
16(22). https://doi.org/10.1093/hmg/ddm189 
342 
 
Zuccato, C., & Cattaneo, E. (2009). Brain-derived neurotrophic factor in 
neurodegenerative diseases. In Nature Reviews Neurology (Vol. 5, Issue 6). 
https://doi.org/10.1038/nrneurol.2009.54 
343